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 |
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency |
Hyeonsoo Lee |
LNCS |
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 |
iU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations |
Jeya Maria Jose Valanarasu |
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 |