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MICCAI 2020 Open Source Papers

We use "code" as the keyword to retrieve the open-source papers. Please feel free to pull requests for the unlisted open-source articles.

Title First Author PDF Code
Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides Christian Marzahl LNCS Code
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture Tiange Xiang LNCS Code
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration Fatemeh Haghighi LNCS Code
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification Zuhao Liu LNCS Code
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses Rodney LaLonde LNCS Code
Interpretability-Guided Content-Based Medical Image Retrieval Wilson Silva LNCS Code
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations Hong-Yu Zhou LNCS Code
Scribble-Based Domain Adaptation via Co-segmentation Reuben Dorent LNCS Code
Source-Relaxed Domain Adaptation for Image Segmentation Mathilde Bateson LNCS Code
Region-of-Interest Guided Supervoxel Inpainting for Self-supervision Subhradeep Kayal LNCS Code
Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation Eleni Chiou LNCS Code
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation Yanning Zhou LNCS Code
Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images Shuailin Li LNCS Code
Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy Fengbei Liu LNCS Code
Semi-supervised Medical Image Classification with Global Latent Mixing Prashnna Kumar Gyawali LNCS Code
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty Xiaoxiao Li LNCS Code
Title First Author PDF Code
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations Dongdong Chen LNCS Code
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture Tiange Xiang LNCS Code
3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning Ivo M. Baltruschat LNCS Code
Learned Proximal Networks for Quantitative Susceptibility Mapping Kuo-Wei Lai LNCS Code
Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues Johanna Uthoff LNCS Code
Unlearning Scanner Bias for MRI Harmonisation Nicola K. Dinsdale LNCS Code
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy Franco Matzkin LNCS Code
Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains Quande Liu LNCS Code
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment Geeticka Chauhan LNCS Code
Large-Scale Inference of Liver Fat with Neural Networks on UK Biobank Body MRI Taro Langner LNCS Code
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields Ricardo Bigolin Lanfredi LNCS Code
Title First Author PDF Code
Reconstructing Sinus Anatomy from Endoscopic Video – Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment Xingtong Liu LNCS Code
Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning Fernando Pérez-Garcı́a LNCS Code
MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation Xinzhe Luo LNCS Code
Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search Mattias P. Heinrich LNCS Code
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration Cong Gao LNCS Code
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks Tobias Czempiel LNCS Code
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation David Kugler LNCS Code
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning Hengtao Guo LNCS Code
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation Cristina Gonza'lez LNCS Code
Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity Mandy Lu LNCS Code
Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recognized Surgical Gestures and Skill Levels Tianyu Wang LNCS Code
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video Zixu Zhao LNCS Code
Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance Dominik Rivoir LNCS Code
Title First Author PDF Code
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision Julia Wolleb LNCS Code
Learning Directional Feature Maps for Cardiac MRI Segmentation Feng Cheng LNCS Code
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices Guotai Wang LNCS Code
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach Qi Liu LNCS Code
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image Xuanang Xu LNCS Code
Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks Hristina Uzunova LNCS Code
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes Jiancheng Yang LNCS Code
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI Francesco La Rosa LNCS Code
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection Qingsong Yao LNCS Code
Non-Rigid Volume to Surface Registration Using a Data-Driven Biomechanical Model Micha Pfeiffer LNCS Code
A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data Matthias Wilms LNCS Code
Title First Author PDF Code
Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization Amin Nejatbakhsh LNCS Code
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images Donglai Wei LNCS Code
Microtubule Tracking in Electron Microscopy Volumes Nils Eckstein LNCS Code
Statistical Atlas of C. elegans Neurons Erdem Varol LNCS Code
Probabilistic Joint Segmentation and Labeling of C. elegans Neurons Amin Nejatbakhsh LNCS Code
Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution Zhen Chen LNCS Code
Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach Meng Dong LNCS Code
3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology Henry F. J. Tregidgo LNCS Code
Boundary-Assisted Region Proposal Networks for Nucleus Segmentation Shengcong Chen LNCS Code
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy Kuan Tian LNCS Code
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention Mihir Sahasrabudhe LNCS Code
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images Zeyu Gao LNCS Code
Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation Yushan Zheng LNCS Code
Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation Marvin Lerousseau LNCS Code
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer Christian Abbet LNCS Code
Foveation for Segmentation of Mega-Pixel Histology Images Chen Jin LNCS Code
Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks Ke Wang LNCS Code
Title First Author PDF Code
Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography Yuyang Zhang LNCS Code
Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement Li Chen LNCS Code
Adaptive Context Selection for Polyp Segmentation Ruifei Zhang LNCS Code
Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect Paddy J. Slator LNCS Code
Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and Classification Renato Hermoza LNCS Code
Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features Qiuli Wang LNCS Code
SIMBA: Specific Identity Markers for Bone Age Assessment Cristina Gonz´ alez LNCS Code
Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring Maximilian Nielsen LNCS Code
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models Yue Liu LNCS Code
PraNet: Parallel Reverse Attention Network for Polyp Segmentation Deng-Ping Fan LNCS Code
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy Yu Tian LNCS Code
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification Maxim Pisov LNCS Code
Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural Parameters Emmanuel Iarussi LNCS Code
Title First Author PDF Code
From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity Gia H. Ngo LNCS Code
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates Mustafa Burak Gurbuz LNCS Code
Supervised Multi-topology Network Cross-Diffusion for Population-Driven Brain Network Atlas Estimation Islem Mhiri LNCS Code
Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast Benjamin Billot LNCS Code
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation Shen Wang LNCS Code
White Matter Tract Segmentation with Self-supervised Learning Qi Lu LNCS Code
Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning Pietro Astolfi LNCS Code
TRAKO: Efficient Transmission of Tractography Data for Visualization Daniel Haehn LNCS Code
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations Usman Mahmood LNCS Code
A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data Roza G. Bayrak LNCS Code
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis Soham Gadgil LNCS Code
A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response Meenakshi Khosla LNCS Code
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph Alaa Bessadok LNCS Code
Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph Alaa Bessadok LNCS Code
Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington’s Disease Kilian Hett LNCS Code
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE Anna Volokitin LNCS Code
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks Robert Robinson LNCS Code

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