-
Notifications
You must be signed in to change notification settings - Fork 124
/
README.md
1832 lines (1447 loc) · 96 KB
/
README.md
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
# <p align=center>`Awesome Diffusion Models in Medical Imaging`</p> #
[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
:fire::fire: This is a collection of awesome articles about diffusion models in medical imaging:fire::fire:
- Our survey paper on MedIA: [Diffusion Models in Medical Imaging: A Comprehensive Survey](https://www.sciencedirect.com/science/article/pii/S1361841523001068) :heart:
- Our survey paper on arXiv: [Diffusion Models for Medical Image Analysis: A Comprehensive Survey](https://arxiv.org/abs/2211.07804) :heart:
#### Citation
```python
@article{kazerouni2023diffusion,
title={Diffusion models in medical imaging: A comprehensive survey},
author={Kazerouni, Amirhossein and Aghdam, Ehsan Khodapanah and Heidari, Moein and Azad, Reza and Fayyaz, Mohsen and Hacihaliloglu, Ilker and Merhof, Dorit},
journal={Medical Image Analysis},
pages={102846},
year={2023},
publisher={Elsevier}
}
```
## Updates
- **Fourth release:** Coming soon!
- We have now achieved more than 1K stars 🌟—thank you community for your support! If you're interested in contributing to this repository, please don't hesitate to send me a message. Thank you!
- Check out our new paper accepted in MICCAI 2023 PRIME Workshop: [DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation](https://arxiv.org/abs/2308.02959) 🥳
- **Third release:** June 3, 2023
- :sunglasses: April 8, 2023: Our paper is accepted for publication in the **Medical Image Analysis Journal (IF: 13.83)** :sunglasses:
- **Second release:** March 29, 2023
- **First release:** November 14, 2022
## Contents
- [Survey Papers](#survey-papers)
- [Challenge Reports](#challenge-reports)
- [Papers](#papers)
- [Anomaly Detection](#anomaly-detection)
- [Denoising](#denoising)
- [Segmentation](#segmentation)
- [Image-to-Image Translation](#image-to-image-translation)
- [Reconstruction](#reconstruction)
- [Image Generation](#image-generation)
- [Text-to-Image](#text-to-image)
- [Registration](#registration)
- [Classification](#classification)
- [Object Detection](#object-detection)
- [Image Restoration](#image-restoration)
- [Inpainting](#inpainting)
- [Super Resolution](#super-resolution)
- [Enhancement](#enhancement)
- [Adversarial Attacks](#adversarial-attacks)
- [Fairness](#fairness)
- [Time Series](#time-series)
- [Audio](#audio)
- [Other Applications](#other-applications)
- [Multi-task](#multi-task)
## Survey Papers
**Diffusion Models in Low-Level Vision: A Survey** \
*Chunming He, Yuqi Shen, Chengyu Fang, Fengyang Xiao, Longxiang Tang, Yulun Zhang, Wangmeng Zuo, Zhenhua Guo, Xiu Li* \
[16th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.11138)] [[GitHub](https://github.com/ChunmingHe/awesome-diffusion-models-in-low-level-vision)]
**Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review** \
*Mohammadreza Amirian, Daniel Barco, Ivo Herzig, Frank-Peter Schilling* \
[27th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.18565)]
**A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI** \
*Yuheng Fan, Hanxi Liao, Shiqi Huang, Yimin Luo, Huazhu Fu, Haikun Qi* \
[18th Nov., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2311.11383)]
**A Comprehensive Review of Generative AI in Healthcare** \
*Yasin Shokrollahi, Sahar Yarmohammadtoosky, Matthew M. Nikahd, Pengfei Dong, Xianqi Li, Linxia Gu* \
[24th Jul., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2310.00795)]
**Generative AI for Medical Imaging: extending the MONAI Framework** :fire: \
*Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso* \
[27th Jul., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2307.15208)] [[Github](https://github.com/Project-MONAI/GenerativeModels)]
**Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review** \
*Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan* \
[24th Jul., 2023] [Journal of Imaging, 2023] \
[[Paper](https://arxiv.org/abs/2307.13125)]
**A Comprehensive Survey on Generative Diffusion Models for Structured Data** \
*Heejoon Koo, To Eun Kim* \
[7th Jun., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2306.04139)]
**Diffusion Models for Time Series Applications: A Survey** \
*Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao* \
[1st May, 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2305.00624)]
**A Comprehensive Survey on Knowledge Distillation of Diffusion Models** \
*Weijian Luo* \
[9th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2304.04262)]
**A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material** \
*Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang* \
[4th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2304.01565)]
**Audio Diffusion Model for Speech Synthesis: A Survey on Text To Speech and Speech Enhancement in Generative AI** \
*Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon* \
[23th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.13336)]
**Diffusion Models in NLP: A Survey** \
*Yuansong Zhu, Yu Zhao* \
[14th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.07576)]
**Text-to-image Diffusion Model in Generative AI: A Survey** \
*Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon* \
[14th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.07909)]
**Diffusion Models for Non-autoregressive Text Generation: A Survey** \
*Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen* \
[12th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.06574)]
**Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action** \
*Zhiye Guo, Jian Liu, Yanli Wang, Mengrui Chen, Duolin Wang, Dong Xu, Jianlin Cheng* \
[13th Feb., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2302.10907)]
**Generative Diffusion Models on Graphs: Methods and Applications** \
*Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li* \
[6th Feb., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2302.02591)]
**Diffusion Models in Medical Imaging: A Comprehensive Survey** :fire: \
*Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, Reza Azad, Mohsen Fayyaz, Ilker Hacihaliloglu, Dorit Merhof* \
[14th Nov., 2022] [MedIA Journal, 2023] \
[[Paper](https://arxiv.org/abs/2211.07804)]
**Efficient Diffusion Models for Vision: A Survey** \
*Anwaar Ulhaq, Naveed Akhtar, Ganna Pogrebna* \
[7th Oct., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2210.09292)]
**Diffusion Models in Vision: A Survey** \
*Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah* \
[10th Sep., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/pdf/2209.04747.pdf)] [[Github](https://github.com/CroitoruAlin/Diffusion-Models-in-Vision-A-Survey)]
**A Survey on Generative Diffusion Model** \
*Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li* \
[6th Sep., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/pdf/2209.02646.pdf)] [[Github](https://github.com/chq1155/A-Survey-on-Generative-Diffusion-Model)]
**Diffusion Models: A Comprehensive Survey of Methods and Applications** \
*Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang* \
[2nd Sep., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/pdf/2209.00796)] [[Github](https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy)]
## Challenge Reports
**Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics** \
*Rucha Deshpande, Varun A. Kelkar, Dimitrios Gotsis, Prabhat Kc, Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio* \
[2nd May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.01822)] [[Website](https://www.aapm.org/GrandChallenge/DGM-Image/)]
## Papers
### Anomaly Detection
**Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection** \
*Julia Wolleb, Florentin Bieder, Paul Friedrich, Peter Zhang, Alicia Durrer, Philippe C. Cattin* \
[18th Mar., 2024] [arXiv, 2024]<br>
[[Paper](https://arxiv.org/abs/2403.11667)] [[Github](https://github.com/JuliaWolleb/Anomaly_berdif)]
**Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model** \
*Sangjoon Park, Yong Bae Kim, Jee Suk Chang, Seo Hee Choi, Hyungjin Chung, Ik Jae Lee, Hwa Kyung Byun* \
[28th Feb., 2024] [arXiv, 2024]<br>
[[Paper](https://arxiv.org/abs/2402.18362)]
**MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images** \
*Rui Xu, Yunke Wang, Bo Du* \
[19th Jan., 2024] [arXiv, 2024]<br>
[[Paper](https://arxiv.org/abs/2401.10561)]
**Unsupervised Anomaly Detection using Aggregated Normative Diffusion** \
*Alexander Frotscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner* \
[4th Dec., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2312.01904)] [[Github](https://github.com/alexanderfrotscher/ANDi)]
**DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection** \
*Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni* \
[26th Nov., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2311.15453)]
**Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs** \
*Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer* \
[7th Dec., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2310.08654)] [[Github](https://github.com/evihuijben/mood_challenge)]
**Histogram- and Diffusion-Based Medical Out-of-Distribution Detection** \
*Evi M.C. Huijben, Sina Amirrajab, Josien P.W. Pluim* \
[12th Oct., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2310.06420)]
**AnoDODE: Anomaly Detection with Diffusion ODE** \
*Xianyao Hu, Congming Jin* \
[10th Aug., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2310.06420)]
**Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI** \
*Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas* \
[30th Aug., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2308.16150)] [[Github](https://github.com/ZiyunLiang/MMCCD)]
**Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images** \
*Alessandro Fontanella, Grant Mair, Joanna Wardlaw, Emanuele Trucco, Amos Storkey* \
[3rd Aug., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2308.02062)] [[Github](https://github.com/alessandro-f/Dif-fuse)]
**SANO: Score-Based Diffusion Model for Anomaly Localization in Dermatology** \
*Alvaro Gonzalez-Jimenez, Simone Lionetti, Marc Pouly, Alexander A. Navarini* \
[18th Jun., 2023] [CVPR Workshop, 2023] \
[paper](https://openaccess.thecvf.com/content/CVPR2023W/VAND/html/Gonzalez-Jimenez_SANO_Score-Based_Diffusion_Model_for_Anomaly_Localization_in_Dermatology_CVPRW_2023_paper.html)]
**Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models** \
*Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A. Schnabel* \
[31st May, 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2305.19643)]
**Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model** \
*Hasan Iqbal, Umar Khalid, Jing Hua, Chen Chen* \
[31st May, 2023] [MICCAI MLMI Workshop, 2023]<br>
[[Paper](https://arxiv.org/abs/2305.19867)] [[Github](https://github.com/hasan1292/mDDPM)]
**Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection** \
*Cosmin I Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A Schnabel* \
[15th Mar., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2303.08452)]
**Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI** \
*Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer* \
[7th Mar., 2023] [MIDL, 2023]<br>
[[Paper](https://arxiv.org/abs/2303.03758)] [[Github](https://github.com/FinnBehrendt/patched-Diffusion-Models-UAD)]
**Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection** \
*Jian Shi, Pengyi Zhang, Ni Zhang, Hakim Ghazzai, Yehia Massoud* \
[28th Feb., 2023] [arXiv, 2023]<br>
[[Paper](https://arxiv.org/abs/2302.14696)]
**The role of noise in denoising models for anomaly detection in medical images** \
*Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia S. Mikhael, Jeremy P. Voisey, Keith Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil* \
[19th Jan., 2023] [MedIA Journal, 2023] \
[[Paper](https://arxiv.org/abs/2301.08330)] [[Github](https://github.com/AntanasKascenas/DenoisingAE)]
**What is Healthy? Generative Counterfactual Diffusion for Lesion Localization** \
*Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris* \
[25th Jul., 2022] [MICCAI Workshop, 2022] \
[[Paper](https://arxiv.org/abs/2207.12268)] [[Github](https://github.com/vios-s/Diff-SCM)]
**AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise** \
*Julian Wyatt, Adam Leach, Sebastian M. Schmon, Chris G. Willcocks* \
[1st Jun., 2022] [CVPR Workshop, 2022] \
[[Paper](https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/papers/Wyatt_AnoDDPM_Anomaly_Detection_With_Denoising_Diffusion_Probabilistic_Models_Using_Simplex_CVPRW_2022_paper.pdf)] [[Github](https://github.com/Julian-Wyatt/AnoDDPM)]
**The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models** \
*Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin* \
[6th Apr., 2022] [arXiv, 2022]<br>
[[Paper](https://arxiv.org/abs/2204.02641)]
**Diffusion Models for Medical Anomaly Detection** <br>
*Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin*<br>
[8th Mar., 2022] [MICCAI, 2022]<br>
[[Paper](https://arxiv.org/abs/2203.04306)] [[Github](https://github.com/JuliaWolleb/diffusion-anomaly)]
---
### Denoising
**Dose-aware Diffusion Model for 3D Low-dose PET: Multi-institutional Validation with Reader Study and Real Low-dose Data** \
*Huidong Xie, Weijie Gan, Bo Zhou, Ming-Kai Chen, Michal Kulon, Annemarie Boustani, Benjamin A. Spencer, Reimund Bayerlein, Xiongchao Chen, Qiong Liu, Xueqi Guo, Menghua Xia, Yinchi Zhou, Hui Liu, Liang Guo, Hongyu An, Ulugbek S. Kamilov, Hanzhong Wang, Biao Li, Axel Rominger, Kuangyu Shi, Ge Wang, Ramsey D. Badawi, Chi Liu* \
[2nd May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.12996)]
**Implicit Image-to-Image Schrodinger Bridge for CT Super-Resolution and Denoising** \
*Yuang Wang, Siyeop Yoon, Pengfei Jin, Matthew Tivnan, Zhennong Chen, Rui Hu, Li Zhang, Zhiqiang Chen, Quanzheng Li, Dufan Wu* \
[10th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.06069)]
**SDDPM: Speckle Denoising Diffusion Probabilistic Models** \
*Soumee Guha, Scott T. Acton* \
[17th Nov., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2311.10868)]
**Deep Ultrasound Denoising Using Diffusion Probabilistic Models** \
*Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz* \
[12th Jun., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2306.07440)]
**A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising** \
*Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang* \
[25th May, 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2305.15887)]
**CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization** \
*Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan* \
[4th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2304.01814)]
**DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models** \
*Tiange Xiang, Mahmut Yurt, Ali B Syed, Kawin Setsompop, Akshay Chaudhari* \
[6th Feb., 2023] [ICLR, 2023] \
[[Paper](https://arxiv.org/abs/2302.03018)] [[Github](https://github.com/StanfordMIMI/DDM2)]
**Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup** \
*Wenjun Xia, Qing Lyu, Ge Wang* \
[29th Sep., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2209.15136)]
**PET image denoising based on denoising diffusion probabilistic models** \
*Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan* \
[13th Sep., 2022] [European Journal of Nuclear Medicine and Molecular Imaging, 2022] \
[[Paper](https://arxiv.org/abs/2209.06167)]
**Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model** \
*Dewei Hu, Yuankai K. Tao, Ipek Oguz* \
[27th Jan., 2022] [Medical Imaging 2022: Image Processing] \
[[Paper](https://arxiv.org/abs/2201.11760)] [[Github](https://github.com/DeweiHu/OCT_DDPM)]
---
### Segmentation
**Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process** \
*Tianyu Lin, Zhiguang Chen, Zhonghao Yan, Weijiang Yu, Fudan Zheng* \
[26th June] [MICCAI, 2024] \
[[Paper](https://arxiv.org/abs/2406.18361)] [[GitHub](https://github.com/lin-tianyu/Stable-Diffusion-Seg)]
**CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation** \
*Tingwei Liu, Miao Zhang, Leiye Liu, Jialong Zhong, Shuyao Wang, Yongri Piao, Huchuan Lu* \
[20th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.14186)] [[GitHub](https://github.com/LiuTingWed/CriDiff)]
**Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion Models** \
*Reza Babaei, Samuel Cheng, Theresa Thai, Shangqing Zhao* \
[4th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.02653)]
**Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation** \
*Hongye Zeng, Ke Zou, Zhihao Chen, Rui Zheng, Huazhu Fu* \
[25th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.16102)] [[GitHub](https://github.com/zenghy96/Reliable-Source-Approximation)]
**CTS: A Consistency-Based Medical Image Segmentation Model** \
*Kejia Zhang, Lan Zhang, Haiwei Pan, Baolong Yu* \
[14th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.09056)] [[GitHub](https://github.com/LanHEU/CTS)]
**Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI** \
*Keqiang Fan, Xiaohao Cai, Mahesan Niranjan* \
[8th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.04974)]
**DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference** \
*Zhihao Shuai, Yinan Chen, Shunqiang Mao, Yihan Zho, Xiaohong Zhang* \
[25th April] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2404.16474)]
**Analysing Diffusion Segmentation for Medical Images** \
*Mathias Öttl, Siyuan Mei, Frauke Wilm, Jana Steenpass, Matthias Rübner, Arndt Hartmann, Matthias Beckmann, Peter Fasching, Andreas Maier, Ramona Erber, Katharina Breininger* \
[21st Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.11323)]
**Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation** \
*Kevin Lin, Donald Brown, Sana Syed, Adam Greene* \
[17th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.11323)]
**Polyp-DDPM: Diffusion-Based Semantic Polyp Synthesis for Enhanced Segmentation** \
*Zolnamar Dorjsembe, Hsing-Kuo Pao, Furen Xiao* \
[6th Feb., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2402.04031)] [[Github](https://github.com/mobaidoctor/polyp-ddpm)]
**Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation** \
*Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu* \
[19th Dec., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2312.12649)]
**LSegDiff: A Latent Diffusion Model for Medical Image Segmentation** \
*Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu* \
[7th Dec., 2023] [SOICT, 2023] \
[[Paper](https://scholar.archive.org/work/2brq7udaqbglnfnmy44drkt55i/access/wayback/https://dl.acm.org/doi/pdf/10.1145/3628797.3629010)]
**Robust semi-supervised segmentation with timestep ensembling diffusion models** \
*Margherita Rosnati, Melanie Roschewitz, Ben Glocker* \
[13th Nov., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2311.07421)]
**A 3D generative model of pathological multi-modal MR images and segmentations** \
*Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso* \
[8th Nov., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2311.04552)] [[Github](https://github.com/virginiafdez/brainSPADE3D_rel)]
**Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation** \
*Haonan Wang, Xiaomeng Li* \
[17th Oct., 2023] [NeurIPS, 2023] \
[[Paper](https://openreview.net/forum?id=NibgkUin5n)] [[Github](https://github.com/xmed-lab/GenericSSL)]
**Certification of Deep Learning Models for Medical Image Segmentation** \
*Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou* \
[5th Oct., 2023] [MICCAI, 2023] \
[[Paper](https://arxiv.org/abs/2310.03664)] [[Github](https://github.com/othmanela/medical_cert_seg)]
**Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation** \
*Zhiqing Zhang, Guojia Fan, Tianyong Liu, Nan Li, Yuyang Liu, Ziyu Liu, Canwei Dong, Shoujun Zhou* \
[12th Aug., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2309.05929)]
**A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models** \
*Yunguan Fu, Yiwen Li, Shaheer U Saeed, Matthew J Clarkson, Yipeng Hu* \
[30th Aug., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2308.16355)] [[Github](https://github.com/mathpluscode/ImgX-DiffSeg)]
**Masked Diffusion as Self-supervised Representation Learner** \
*Zixuan Pan, Jianxu Chen, Yiyu Shi* \
[10th Aug., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2308.05695)]
**DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation** \
*Afshin Bozorgpour, Yousef Sadegheih, Amirhossein Kazerouni, Reza Azad, Dorit Merhof* \
[5th Aug., 2023] [MICCAI Workshop, 2023] \
[[Paper](https://arxiv.org/abs/2308.02959)] [[Github](https://github.com/mindflow-institue/DermoSegDiff)]
**C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation** \
*Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye* \
[31st Jul., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2308.00193)]
**Pre-Training with Diffusion models for Dental Radiography Segmentation** \
*Jérémy Rousseau, Christian Alaka, Emma Covili, Hippolyte Mayard, Laura Misrachi, Willy Au* \
[26th Jul., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2307.14066)]
**FEDD -- Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification** \
*Héctor Carrión, Narges Norouzi* \
[21st Jul., 2023] [MICCAI, 2023] \
[[Paper](https://arxiv.org/abs/2307.11654)] [[Github](https://github.com/hectorcarrion/fedd)]
**Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models** \
*Tomer Amit, Shmuel Shichrur, Tal Shaharbany, and Lior Wolf* \
[15th Jun., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2306.09004)] [[Github](https://github.com/tomeramit/annotator-consensus-prediction)]
**Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation** \
*Xinrong Hu, Yu-Jen Chen, Tsung-Yi Ho, Yiyu Shi* \
[6th Jun., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2306.03878)] [[Github](https://github.com/xhu248/cond_ddpm_wsss)]
**Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models** \
*Muhammad Usman Akbar, Måns Larsson, and Anders Eklund* \
[5th Jun., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2306.02986)]
**Semi-supervised Brain Tumor Segmentation Using Diffusion Models** \
*Ahmed Alshenoudy, Bertram Sabrowsky-Hirsch, Stefan Thumfart, Michael Giretzlehner, Erich Kobler* \
[1st Jun., 2023] [AIAI, 2023] \
[[Paper](https://link.springer.com/chapter/10.1007/978-3-031-34111-3_27)] [[Github](https://github.com/risc-mi/braintumor-ddpm)]
**Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model** \
*Fenghe Tang, Jianrui Ding, Lingtao Wang, Min Xian, Chunping Ning* \
[16th May, 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2305.09447)] [[Github](https://github.com/FengheTan9/Multi-Level-Global-Context-Cross-Consistency)]
**Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features** \
*Nurislam Tursynbek, Marc Niethammer* \
[28th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2305.00067)]
**DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models** \
*Shitong Shao, Xiaohan Yuan, Zhen Huang, Ziming Qiu, Shuai Wang, Kevin Zhou* \
[26th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2304.13416)] [[Github](https://anonymous.4open.science/r/DiffuseExpand/README.md)]
**Ambiguous Medical Image Segmentation using Diffusion Models** \
*Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M Patel* \
[10th Apr., 2023] [CVPR, 2023] \
[[Paper](https://arxiv.org/abs/2304.04745)] [[Github](https://github.com/aimansnigdha/Ambiguous-Medical-Image-Segmentation-using-Diffusion-Models)]
**BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation** \
*Tao Chen, Chenhui Wang, Hongming Shan* \
[10th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2304.04429)]
**Diffusion Models for Memory-efficient Processing of 3D Medical Images** \
*Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin* \
[27th Mar., 2023] [MIDL, 2023] \
[[Paper](https://arxiv.org/abs/2303.15288)]
**Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation** \
*Haipeng Zhou, Lei Zhu, Yuyin Zhou* \
[22nd Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.12313)] [[Github](https://github.com/haipengzhou856/DPNet)]
**Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation** \
*Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Lei Zhu* \
[18th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.10326)] [[Github](https://github.com/ge-xing/Diff-UNet)]
**Stochastic Segmentation with Conditional Categorical Diffusion Models** \
*Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Raphael Sznitman, Pablo Márquez-Neila* \
[15th Mar., 2023] [ICCV, 2023] \
[[Paper](https://openaccess.thecvf.com/content/ICCV2023/html/Zbinden_Stochastic_Segmentation_with_Conditional_Categorical_Diffusion_Models_ICCV_2023_paper.html)] [[Github](https://github.com/LarsDoorenbos/ccdm-stochastic-segmentation)]
**Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation** \
*Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu* \
[10th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.06040)] [[Github](https://github.com/mathpluscode/ImgX-DiffSeg)]
**Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions** \
*Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock* \
[10th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.05966)]
**MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer** \
*Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yanwu Xu* \
[19th Jan., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2301.11798)] [[Github](https://github.com/WuJunde/MedSegDiff)]
**Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks** \
*Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger* \
[11th Nov., 2022] [ISBI, 2023] \
[[Paper](https://arxiv.org/abs/2211.06150)]
**MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model** \
*Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu* \
[1st Nov., 2022] [MIDL, 2023] \
[[Paper](https://arxiv.org/abs/2211.00611)] [[Github](https://github.com/WuJunde/MedSegDiff)]
**Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation** \
*Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma* \
[27th Oct., 2022] [ISBI, 2023] \
[[Paper](https://arxiv.org/abs/2210.17408)]
**Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation** \
*Boah Kim, Yujin Oh, Jong Chul Ye* \
[19th Sep., 2022] [ICLR, 2023] \
[[Paper](https://arxiv.org/abs/2209.14566)]
**Can segmentation models be trained with fully synthetically generated data?** \
*Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S Graham, Tom Vercauteren, M Jorge Cardoso* \
[17th Sep., 2022] [MICCAI Workshop , 2022] \
[[Paper](https://arxiv.org/abs/2209.08256)]
**Diffusion Models for Implicit Image Segmentation Ensembles** \
*Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin* \
[6th Dec., 2021] [MIDL, 2022] \
[[Paper](https://arxiv.org/abs/2112.03145)] [[Github](https://github.com/juliawolleb/diffusion-based-segmentation)]
---
### Image-to-Image Translation
**Soft Masked Mamba Diffusion Model for CT to MRI Conversion** \
*Zhenbin Wang, Lei Zhang, Lituan Wang, Zhenwei Zhang* \
[22nd June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.15910)] [[GitHub](https://github.com/wongzbb/DiffMa-Diffusion-Mamba)]
**Similarity-aware Syncretic Latent Diffusion Model for Medical Image Translation with Representation Learning** \
*Tingyi Lin, Pengju Lyu, Jie Zhang, Yuqing Wang, Cheng Wang, Jianjun Zhu* \
[19th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.13977)]
**Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation** \
*Hongxu Jiang, Muhammad Imran, Linhai Ma, Teng Zhang, Yuyin Zhou, Muxuan Liang, Kuang Gong, Wei Shao* \
[23rd May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.14802)] [[GitHub](https://github.com/mirthAI/Fast-DDPM)]
**Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation** \
*Yinchi Zhou, Tianqi Chen, Jun Hou, Huidong Xie, Nicha C. Dvornek, S. Kevin Zhou, David L. Wilson, James S. Duncan, Chi Liu, Bo Zhou* \
[5th April] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.12223)]
**Self-Consistent Recursive Diffusion Bridge for Medical Image Translation** \
*Fuat Arslan, Bilal Kabas, Onat Dalmaz, Muzaffer Ozbey, Tolga Çukur* \
[10th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.06789)] [[GitHub](https://github.com/icon-lab/SelfRDB)]
**Tackling Structural Hallucination in Image Translation with Local Diffusion** \
*Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander* \
[9th April] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2404.05980)]
**Mitigating analytical variability in fMRI results with style transfer** \
*Elodie Germani, Elisa Fromont, Camille Maumet* \
[4th April] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2404.03703)]
**ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models** \
*Yuwen Chen, Nicholas Konz, Hanxue Gu, Haoyu Dong, Yaqian Chen, Lin Li, Jisoo Lee, Maciej A. Mazurowski* \
[16th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.10786)]
**FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model** \
*Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang* \
[19th Nov., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2311.12070)]
**Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study** \
*Jonghun Kim, Hyunjin Park* \
[1st Nov., 2023] [WACV, 2024] \
[[Paper](https://arxiv.org/abs/2311.00265)] [[Github](https://github.com/jongdory/ALDM/)]
**Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis** \
*Shaoyan Pan, Chih-Wei Chang, Junbo Peng, Jiahan Zhang, Richard L.J. Qiu, Tonghe Wang, Justin Roper, Tian Liu, Hui Mao, Xiaofeng Yang* \
[28th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2305.00042)]
**Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models** \
*Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve Jiang, Jing Wang, You Zhang* \
[5th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2304.02742)] [[Github](https://github.com/Kent0n-Li/FGDM)]
**Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels** \
*Jan Oscar Cross-Zamirski, Praveen Anand, Guy Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb* \
[15th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.08863)] [[Github](https://github.com/crosszamirski/guided-I2I)]
**Diffusion Models for Contrast Harmonization of Magnetic Resonance Images** \
*Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin* \
[14th Mar., 2023] [MIDL, 2023] \
[[Paper](https://arxiv.org/abs/2303.08189)]
**Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion** \
*Zihao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu* \
[31st Jan., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2301.13743)]
**Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields** \
*Xie Taofeng, Cao Chentao, Cui Zhuoxu, Li Fanshi, Wei Zidong, Zhu Yanjie, Li Ye, Liang Dong, Jin Qiyu, Chen Guoqing, Wang Haifeng* \
[16th Nov., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2211.08901)]
**Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models** \
*Qing Lyu, Ge Wang* \
[24th Sep., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2209.12104)]
**Unsupervised Medical Image Translation with Adversarial Diffusion Models** \
*Muzaffer Özbey, Salman UH Dar, Hasan A Bedel, Onat Dalmaz, Şaban Özturk, Alper Güngör, Tolga Çukur* \
[17th Jul., 2022] [IEEE TMI Journal, 2022] \
[[Paper](https://arxiv.org/abs/2207.08208)]
**A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion** \
*Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen* \
[7th Jul., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2207.03430)]
---
### Reconstruction
**DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction** \
*Bowen Song, Jason Hu, Zhaoxu Luo, Jeffrey A. Fessler, Liyue Shen* \
[14th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.10211)]
**Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems** \
*Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler* \
[4th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.02462)]
**DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised $h$-transform** \
*Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio* \
[3rd June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.01781)]
**Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving** \
*Jia He, Bonan Li, Ge Yang, Ziwen Liu* \
[24th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.15241)]
**Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning** \
*Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin* \
[24th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.15643)] [[GitHub](https://github.com/FabianSBD/SBD-task-dependent)]
**DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models** \
*Mengxiao Geng, Jiahao Zhu, Xiaolin Zhu, Qiqing Liu, Dong Liang, Qiegen Liu* \
[9th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.05763)] [[GitHub](https://github.com/yqx7150/DP-MDM)]
**Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems** \
*Hossein Askari, Fred Roosta, Hongfu Sun* \
[4th April] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2404.03706)]
**Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction** \
*Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman* \
[30th March] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2404.00471)]
**U2MRPD: Unsupervised undersampled MRI reconstruction by prompting a large latent diffusion model** \
*Ziqi Gao, S. Kevin Zhou* \
[16th Feb., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2402.10609)] [[GitHub](https://github.com/Z7Gao/MRPD)]
**Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model** \
*Matthew A. Chan, Maria J. Molina, Christopher A. Metzler* \
[5th Feb., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2402.03478)]
**A Comparative Study of Variational Autoencoders, Normalizing Flows, and Score-based Diffusion Models for Electrical Impedance Tomography** \
*Huihui Wang, Guixian Xu, Qingping Zhou* \
[29th Nov., 2023] [Journal of Inverse and Ill-posed Problems, 2024] \
[[Paper](https://arxiv.org/abs/2310.15831)] [[Github](https://github.com/adahfbch/DGM-EIT)]
**Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction** \
*Muhammad U. Mirza, Onat Dalmaz, Hasan A. Bedel, Gokberk Elmas, Yilmaz Korkmaz, Alper Gungor, Salman UH Dar, Tolga Çukur* \
[4th Aug., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2308.01096)] [[Github](https://github.com/icon-lab/FDB)]
**Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency** \
*Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen* \
[16th Jul., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2307.08123)]
**DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images** \
*Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li* \
[21st Jun., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2306.12109)]
**Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models** \
*Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis* \
[5th Jun., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2306.03284)] [[Github](https://github.com/Sriram-Ravula/MRI_Sampling_Diffusion)]
**Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data** \
*Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir* \
[2nd May., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2305.01166)]
**SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI** \
*Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu* \
[11th Apr., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2304.05060)]
**Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data** \
*Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang* \
[22nd Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.12861)]
**Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models** \
*Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye* \
[15th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.08440)]
**Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition** \
*Hyungjin Chung, Suhyeon Lee, Jong Chul Ye* \
[10th Mar., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2303.05754)]
**Diffusion Denoising for Low-Dose-CT Model** \
*Runyi Li* \
[27th Jan., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2301.11482)]
**Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction** \
*Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye* \
[8th Jan., 2023] [arXiv, 2023] \
[[Paper](https://arxiv.org/abs/2301.03027)]
**Universal Generative Modeling in Dual-domain for Dynamic MR Imaging** \
*Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu* \
[15th Dec., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2212.07599)]
**SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging** \
*Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu* \
[14th Dec., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2212.11274)]
**One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging** \
*Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu* \
[7th Dec., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2212.03630)]
**DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction** \
*Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim* \
[22nd Nov., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2211.12340)]
**Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models** \
*Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc L. Klasky, Jong Chul Ye* \
[19th Nov., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2211.10655)] [[Github](https://github.com/HJ-harry/DiffusionMBIR)]
**Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction** \
*Wenjun Xia, Wenxiang Cong, Ge Wang* \
[18th Nov., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2211.10388)]
**Accelerated Motion Correction for MRI using Score-Based Generative Models** \
*Brett Levac, Ajil Jalal, Jonathan I. Tamir* \
[1st Nov., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2211.00199)]
**Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction** \
*Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang* \
[2nd Sep., 2022] [IEEE TMI, 2022] \
[[Paper](https://arxiv.org/abs/2209.00835)]
**One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction** \
*Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu* \
[15th Aug., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2208.07181)] [[Github](https://github.com/yqx7150/hkgm)]
**High-Frequency Space Diffusion Models for Accelerated MRI** \
*Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu* \
[10th Aug., 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2208.05481)]
**Adaptive Diffusion Priors for Accelerated MRI Reconstruction** <br>
*Salman UH Dar, Şaban Öztürk, Yilmaz Korkmaz, Gokberk Elmas, Muzaffer Özbey, Alper Güngör, Tolga Çukur*<br>
[12th Jul., 2022] [arXiv, 2022]<br>
[[Paper](https://arxiv.org/abs/2207.05876)]
**Improving Diffusion Models for Inverse Problems using Manifold Constraints** \
*Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye* \
[2nd Jun., 2022] [NeurIPS, 2022] \
[[Paper](https://arxiv.org/abs/2206.00941)]
**WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction** \
*Zongjiang Tu, Die Liu, Xiaoqing Wang, Chen Jiang, Pengwen Zhu, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu* \
[8th May, 2022] [arXiv, 2022] \
[[Paper](https://arxiv.org/abs/2205.03883)] [[Github](https://github.com/yqx7150/wkgm)]
**Towards performant and reliable undersampled MR reconstruction via diffusion model sampling**<br>
*Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa*<br>
[8th Mar., 2022] [MICCAI, 2022]<br>
[[Paper](https://arxiv.org/abs/2203.04292)] [[Github](https://github.com/cpeng93/diffuserecon)]
**Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction**<br>
*Yutong Xie, Quanzheng Li*<br>
[5th Mar., 2022] [MICCAI, 2022]<br>
[[Paper](https://arxiv.org/abs/2203.03623)] [[Github](https://github.com/Theodore-PKU/MC-DDPM)]
**MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation**<br>
*Guanxiong Luo, Martin Heide, Martin Uecker*<br>
[3rd Feb., 2022] [arXiv, 2022]<br>
[[Paper](https://arxiv.org/abs/2202.01479)] [[Github](https://github.com/mrirecon/spreco)]
**Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction** <br>
*Hyungjin Chung, Byeongsu Sim, Jong Chul Ye*<br>
[9th Dec., 2021] [CVPR, 2021]<br>
[[Paper](https://arxiv.org/abs/2112.05146)]
**Solving Inverse Problems in Medical Imaging with Score-Based Generative Models**<br>
*Yang Song, Liyue Shen, Lei Xing, Stefano Ermon*<br>
[15th Nov., 2021] [ICLR, 2022] <br>
[[Paper](https://arxiv.org/abs/2111.08005)] [[Github](https://github.com/yang-song/score_inverse_problems)]
**Score-based diffusion models for accelerated MRI** <br>
*Hyungjin Chung, Jong chul Ye*<br>
[8th Oct., 2021] [MIA, 2021]<br>
[[Paper](https://arxiv.org/abs/2110.05243)] [[Github](https://github.com/yang-song/score_inverse_problems)]
**Robust Compressed Sensing MRI with Deep Generative Priors** <br>
*Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir*<br>
[3rd Aug., 2021] [NeurIPS, 2021]<br>
[[Paper](https://arxiv.org/abs/2108.01368)] [[Github](https://github.com/utcsilab/csgm-mri-langevin)]
---
### Image Generation
**From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis** \
*Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm* \
[26th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.18375)]
**Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation** \
*Dunyuan Xu, Xi Wang, Jingyang Zhang, Pheng-Ann Heng* \
[25th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.18037)] [[GitHub](https://github.com/dyxu-cuhkcse/SMG-Learning)]
**Test-Time Generative Augmentation for Medical Image Segmentation** \
*Xiao Ma, Yuhui Tao, Yuhan Zhang, Zexuan Ji, Yizhe Zhang, Qiang Chen* \
[25th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.17608)] [[GitHub](https://github.com/maxiao0234/TTGA)]
**X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning** \
*Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan* \
[23rd June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.16109)] [[GitHub](https://github.com/NoaCahan/X-ray2CTPA)]
**Image Distillation for Safe Data Sharing in Histopathology** \
*Zhe Li, Bernhard Kainz* \
[19th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.13536)] [[GitHub](https://github.com/ZheLi2020/InfoDist)]
**3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes** \
*Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan* \
[8th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.05421)] [[GitHub](https://github.com/Arksyd96/synthesis-with-slice-based-ldm)]
**U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation** \
*Chenxin Li, Xinyu Liu, Wuyang Li, Cheng Wang, Hengyu Liu, Yixuan Yuan* \
[5th June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.02918)] [[GitHub](https://github.com/CUHK-AIM-Group/U-KAN)] [[Website](https://yes-ukan.github.io/)]
**EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing** \
*Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas Day, Alberto Gomez, Paul Leeson, Bernhard Kainz* \
[2nd June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.00808)] [[GitHub](https://github.com/HReynaud/EchoNet-Synthetic)]
**Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models** \
*Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luis F. Teixeira, João C. Neves* \
[2nd June] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2406.00772)] [[GitHub](https://github.com/CristianoPatricio/unsupervised-contrastive-cond-diff)]
**GenMix: Combining Generative and Mixture Data Augmentation for Medical Image Classification** \
*Hansang Lee, Haeil Lee, Helen Hong* \
[31st May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.20650)]
**Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models** \
*Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu* \
[26th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.16516)] [[GitHub](https://github.com/nicetomeetu21/ca-ldm)]
**MediSyn: Text-Guided Diffusion Models for Broad Medical 2D and 3D Image Synthesis** \
*Joseph Cho, Cyril Zakka, Rohan Shad, Ross Wightman, Akshay Chaudhari, William Hiesinger* \
[16th May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.09806)]
**Long Tail Image Generation Through Feature Space Augmentation and Iterated Learning** \
*Rafael Elberg, Denis Parra, Mircea Petrache* \
[2nd May] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2405.01705)] [[GitHub](https://github.com/SugarFreeManatee/Feature-Space-Augmentation-and-Iterated-Learning)]
**Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery** \
*Payal Varshney, Adriano Lucieri, Christoph Balada, Andreas Dengel, Sheraz Ahmed* \
[16th April] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2404.10356)]
**MaSkel: A Model for Human Whole-body X-rays Generation from Human Masking Images** \
*Yingjie Xi, Boyuan Cheng, Jingyao Cai, Jian Jun Zhang, Xiaosong Yang* \
[13th April] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2404.09000)] [[GitHub](https://github.com/2022yingjie/MaSkel
)]
**Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models** \
*Siyuan Mei, Fuxin Fan, Fabian Wagner, Mareike Thies, Mingxuan Gu, Yipeng Sun, Andreas Maier* \
[4th April] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2404.03541)]
**Debiasing Cardiac Imaging with Controlled Latent Diffusion Models** \
*Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E Petersen, Karim Lekadir, Polyxeni Gkontra* \
[28th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.19508)] [[Github](https://github.com/faildeny/debiasing-cardiac-mri)]
**Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks** \
*Pooria Ashrafian, Milad Yazdani, Moein Heidari, Dena Shahriari, Ilker Hacihaliloglu* \
[28th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.19880)] [[Github](https://github.com/Pooria90/DiffEcho)]
**CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation** \
*Yongrui Yu, Hanyu Chen, Zitian Zhang, Qiong Xiao, Wenhui Lei, Linrui Dai, Yu Fu, Hui Tan, Guan Wang, Peng Gao, Xiaofan Zhang* \
[26th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.17770)]
**Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models** \
*Rowan Bradbury, Katherine A. Vallis, Bartlomiej W. Papiez* \
[26th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.17734)]
**MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline** \
*Yasamin Medghalchi, Niloufar Zakariaei, Arman Rahmim, Ilker Hacihaliloglu* \
[25th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.16335)] [[Github](https://github.com/yasamin-med/MEDDAP)]
**LeFusion: Synthesizing Myocardial Pathology on Cardiac MRI via Lesion-Focus Diffusion Models** \
*Hantao Zhang, Jiancheng Yang, Shouhong Wan, Pascal Fua* \
[21st Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.14066)] [[Github](https://github.com/M3DV/LeFusion)]
**Generative Enhancement for 3D Medical Images** \
*Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu* \
[14th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.12852)] [[Github](https://github.com/HKU-MedAI/GEM-3D)]
**XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model** \
*Anees Ur Rehman Hashmi, Ibrahim Almakky, Mohammad Areeb Qazi, Santosh Sanjeev, Vijay Ram Papineni, Dwarikanath Mahapatra, Mohammad Yaqub* \
[14th Mar., 2024] [arXiv, 2024] \
[[Paper](https://arxiv.org/abs/2403.09240)] [[Github](https://github.com/BioMedIA-MBZUAI/XReal)]