MICCAI 2022 Open-Source Papers

We use "Link to the code repository" in MICCAI 2022 Accepted Papers and Reviews as the keyword to retrieve the open-source papers. Please feel free to pull requests for the unlisted open-source papers.

Title	FirstAuthor	Code
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction	Pinxian Zeng	code
3D Global Fourier Network for Alzheimer's Disease Diagnosis using Structural MRI	Shengjie Zhang	code
4D-OR: Semantic Scene Graphs for OR Domain Modeling	Ege Özsoy	code
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000	Sontje Ihler	code
A Deep-Discrete Learning Framework for Spherical Surface Registration	Mohamed A. Suliman	code
A Hybrid Propagation Network for Interactive Volumetric Image Segmentation	Luyue Shi	code
A Medical Semantic-Assisted Transformer for Radiographic Report Generation	Zhanyu Wang	code
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images	Wentian Zhang	code
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos	Zhi Lin	code
A Novel Fusion Network for Morphological Analysis of Common Iliac Artery	Meng Song	code
A Novel Knowledge Keeper Network for 7T-Free But 7T-Guided Brain Tissue Segmentation	Jieun Lee	code
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models	Anthony Vento	code
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation	Himashi Peiris	code
A Self-Guided Framework for Radiology Report Generation	Jun Li	code
A Sense of Direction in Biomedical Neural Networks	Zewen Liu	code
A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction	Wenjun Xia	code
AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images	Jia Guo	code
Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning	Rushdi Zahid Rusho	code
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers	Youbao Tang	code
Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner	Zhenwei Wang	code
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts	Alexander Bigalke	code
Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images	Pak-Hei Yeung	code
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching	Khanh Nguyen	code
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs	Prashant Pandey	code
An Advanced Deep Learning Framework for Video-based Diagnosis of ASD	Miaomiao Cai	code
An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention	Chao Xia	code
An Inclusive Task-Aware Framework for Radiology Report Generation	Lin Wang	code
An Optimal Control Problem for Elastic Registration and Force Estimation in Augmented Surgery	Guillaume Mestdagh	code
Analyzing Brain Structural Connectivity as Continuous Random Functions	William Consagra	code
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays	Ke Yu	code
Anomaly-aware multiple instance learning for rare anemia disorder classification	Salome Kazeminia	code
Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans	Haomiao Ni	code
Atlas-based Semantic Segmentation of Prostate Zones	Jiazhen Zhang	code
Attention-enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation	Xiaoyi Sun	code
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging	Ekaterina Kuzmina	code
Automated Classification of General Movements in Infants Using Two-stream Spatiotemporal Fusion Network	Yuki Hashimoto	code
Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling	Güinther Saibro	code
Automatic identification of segmentation errors for radiotherapy using geometric learning	Edward G. A. Henderson	code
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video	Szymon Płotka	code
Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery	Jingwei Song	code
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation	Mou-Cheng Xu	code
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology	Yunlong Zhang	code
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis	Masoud Monajatipoor	code
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes	Netanell Avisdris	code
BMD-GAN: Bone mineral density estimation using x-ray image decomposition into projections of bone-segmented quantitative computed tomography using hierarchical learning	Yi Gu	code
Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation	Feng Chang	code
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease	Mehmet Saygın Seyfioğlu	code
CACTUSS: Common Anatomical CT-US Space for US examinations	Yordanka Velikova	code
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation	Yiqun Lin	code
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation	Zhihong Lin	code
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction	Dominik J. E. Waibel	code
CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data	Hao Ding	code
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis	Ignacio Sarasua	code
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images	Renato Hermoza	code
CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs	Minghui Zhang	code
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays	Gaurang Karwande	code
ChrSNet: Chromosome Straightening using Self-attention Guided Networks	Sunyi Zheng	code
CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction	Wookjin Choi	code
Class Impression for Data-free Incremental Learning	Sana Ayromlou	code
CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy	Shawn Mathew	code
Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport	Javid Dadashkarimi	code
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance	Chengwei Pan	code
Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases	Ana Lawry Aguila	code
Consistency-preserving Visual Question Answering in Medical Imaging	Sergio Tascon-Morales	code
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification	Xuesong Wang	code
Contrastive learning for echocardiographic view integration	Li-Hsin Cheng	code
Contrastive Masked Transformers for Forecasting Renal Transplant Function	Leo Milecki	code
Contrastive Re-localization and History Distillation in Federated CMR Segmentation	Xiaoming Qi	code
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection	Yu Tian	code
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation	Thierry Judge	code
CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention	Xiaodan Xing	code
D'ARTAGNAN: Counterfactual Video Generation	Hadrien Reynaud	code
Data-driven Multi-Modal Partial Medical Image Preregistration by Template Space Patch Mapping	Ding Xia	code
Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation	Zheyao Gao	code
Deep is a Luxury We Don't Have	Ahmed Taha	code
Deep Laparoscopic Stereo Matching with Transformers	Xuelian Cheng	code
Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition	Bin Wang	code
Deep Multimodal Guidance for Medical Image Classification	Mayur Mallya	code
Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy	Chi Xu	code
Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals	Yuning Gu	code
DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface	Yeman Brhane Hagos	code
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos	Negin Ghamsarian	code
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration	Jiashun Chen	code
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network	Haofeng Liu	code
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence	Haibo Yang	code
DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation	Yiwen Ye	code
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification	Linhao Qu	code
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs	Tae Soo Kim	code
Diffusion Deformable Model for 4D Temporal Medical Image Generation	Boah Kim	code
Diffusion Models for Medical Anomaly Detection	Julia Wolleb	code
Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network	Yejee Shin	code
Discrepancy and Gradient-guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading	Xiaohan Xing	code
DisQ: Disentangling Quantitative MRI Mapping of the Heart	Changchun Yang	code
Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction	Shiyi Du	code
Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency	Wei Huang	code
Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation	Shishuai Hu	code
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach	Qingqiao Hu	code
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation	Skylar E. Stolte	code
DRGen: Domain Generalization in Diabetic Retinopathy Classification	Mohammad Atwany	code
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network	Ziqi Huang	code
DSR: Direct Simultaneous Registration for Multiple 3D Images	Zhehua Mao	code
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT	Xiongchao Chen	code
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays	Yu Cai	code
Dual-graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis	Tingsong Xiao	code
Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning	Fatih Said Duran	code
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging	Jun Lyu	code
Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance	Meirui Jiang	code
EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography	Rand Muhtaseb	code
EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks	Masoud Mokhtari	code
Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation	Yifan Liu	code
Embedding Gradient-based Optimization in Image Registration Networks	Huaqi Qiu	code
Enhancing model generalization for substantia nigra segmentation using a test-time normalization-based method	Tao Hu	code
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores	Zeju Li	code
Evidence fusion with contextual discounting for multi-modality medical image segmentation	Ling Huang	code
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification	Xin He	code
Explaining Chest X-ray Pathologies in Natural Language	Maxime Kayser	code
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation	Yicheng Wu	code
Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning	Lei Fan	code
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification	Philip Chikontwe	code
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection	Eike Petersen	code
Federated Stain Normalization for Computational Pathology	Nicolas Wagner	code
FedHarmony: Unlearning Scanner Bias with Distributed Data	Nicola K. Dinsdale	code
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning	Xiajun Jiang	code
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification	Kai-Ni Wang	code
fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits	Rotem Leibovitz	code
Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution	Weiwen Zhang	code
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach	Jadie Adams	code
FSE Compensated Motion Correction for MRI Using Data Driven Methods	Brett Levac	code
FUSSNet: Fusing Two Sources of Uncertainty for Semi-Supervised Medical Image Segmentation	Jinyi Xiang	code
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation	Mark Endo	code
GazeRadar: A Gaze and Radiomics-guided Disease Localization Framework	Moinak Bhattacharya	code
Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task Consistency	Wenda Li	code
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning	Jingwei Zhang	code
Graph convolutional network with probabilistic spatial regression: application to craniofacial landmark detection from 3D photogrammetry	Connor Elkhill	code
Graph Emotion Decoding from Visually Evoked Neural Responses	Zhongyu Huang	code
Hand Hygiene Quality Assessment using Image-to-Image Translation	Chaofan Wang	code
Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge	Xiao Huang	code
Histogram-based unsupervised domain adaptation for medical image classification	Pengfei Diao	code
Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging	Kimberly Amador	code
Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions	Leonie Henschel	code
Implicit Neural Representations for Medical Imaging Segmentation	Muhammad Osama Khan	code
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets	Charles Lu	code
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples	Linde S. Hesse	code
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation	Yi Lin	code
Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection	Junyong Shen	code
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis	Hejie Cui	code
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators	Maryam Toloubidokhti	code
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images	Qin Liu	code
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels	Xiaoqing Guo	code
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome	Yueting Li	code
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning	Tianling Liu	code
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification	Yushan Zheng	code
Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos	Yuchen Wang	code
Landmark-free Statistical Shape Modeling via Neural Flow Deformations	David LÃ¼dke	code
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation	Kaisar Kushibar	code
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis	Julia Wolleb	code
Learning iterative optimisation for deformable image registration of lung CT with recurrent convolutional networks	Fenja Falta	code
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection	Rebeca Vétil	code
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites	Jingyang Zhang	code
Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation	Meng Jia	code
Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization	Jiawei Liu	code
Lesion Guided Explainable Few Weak-shot Medical Report Generation	Jinghan Sun	code
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis	Jun Li	code
Lesion-aware Dynamic Kernel for Polyp Segmentation	Ruifei Zhang	code
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation	Sukesh Adiga Vasudeva	code
LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening	Yanbo Shao	code
LifeLonger: A Benchmark for Continual Disease Classification	Mohammad Mahdi Derakhshani	code
LiftReg: Limited Angle 2D/3D Deformable Registration	Lin Tian	code
Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound	Sarina Thomas	code
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction	Daniel Reisenbüchler	code
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework	Haoran Dou	code
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network	Xiaowei Yu	code
Long-tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation	Qian Zhou	code
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection	Rui Xu	code
MAL: Multi-modal attention learning for tumor diagnosis based on bipartite graph and multiple branches	Menglei Jiao	code
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation	Yash Sharma	code
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation	Chen Chen	code
MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PET	Xueqi Guo	code
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction	Yutong Xie	code
Meta-hallucinator: Towards few-shot cross-modality cardiac image segmentation	Ziyuan Zhao	code
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation	Yao Zhang	code
Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities	Zechen Zhao	code
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities	Han Liu	code
Modelling Cycles in Brain Networks with the Hodge Laplacian	Sixtus Dakurah	code
Morphology-Aware Interactive Keypoint Estimation	Jinhee Kim	code
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging	Joohyung Lee	code
mulEEG: A Multi-View Representation Learning on EEG Signals	Vamsi Kumar	code
Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task.	Bilha Githinji	code
Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images	Huabing Liu	code
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training	Zhihong Chen	code
Multiple Instance Learning with Mixed Supervision in Gleason Grading	Hao Bian	code
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness	Siyuan Dong	code
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images	Wenguang Yuan	code
Multi-TransSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients	Hanci Zheng	code
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction	Ruyi Zha	code
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation	Zhaohu Xing	code
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis	Jiancheng Yang	code
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery	Yuehao Wang	code
Noise transfer for unsupervised domain adaptation of retinal OCT images	Valentin Koch	code
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning	Mingyuan Meng	code
Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-based Deep Negative Correlation Learning	Junyang Wu	code
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification	Fengbei Liu	code
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation	Wan Liu	code
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images	Yi Li	code
OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation	Savinien Bonheur	code
Optimal MRI Undersampling Patterns for Pathology Localization	Artem Razumov	code
Overlooked Trustworthiness of Saliency Maps	Jiajin Zhang	code
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation	Yanglan Ou	code
Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising	Chanyong Jung	code
PD-DWI: Predicting response to neoadjuvant chemotherapy in invasive breast cancer with Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model	Maya Gilad	code
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation	Wentao Liu	code
Point Beyond Class: A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays	Haoqin Ji	code
Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image	Calvin-Khang Ta	code
Pose-based Tremor Classification for Parkinson's Disease Diagnosis from Video	Haozheng Zhang	code
Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation	Dong Liang	code
Predicting molecular traits from tissue morphology through self-interactive multi-instance learning	Yang Hu	code
Privacy Preserving Image Registration	Riccardo Taiello	code
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification	Zhixiong Yang	code
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis	An Zhao	code
Progression models for imaging data with Longitudinal Variational Auto Encoders	Benoît Sauty	code
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI	Stefano B. Blumberg	code
Prostate Cancer Histology Synthesis using StyleGAN Latent Space Annotation	Gagandeep B. Daroach	code
Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis	Eunsong Kang	code
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification	Luyang Luo	code
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization	Yiqing Shen	code
Real-Time 3D Reconstruction of Human Vocal Folds via High-Speed Laser-Endoscopy	Jann-Ole Henningson	code
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models	Xin Yu	code
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images	Qilong Zhangli	code
Region-guided CycleGANs for Stain Transfer in Whole Slide Images	Joseph Boyd	code
Regression Metric Loss: Learning a Semantic Representation Space for Medical Images	Hanqing Chao	code
Reinforcement learning for active modality selection during diagnosis	Gabriel Bernardino	code
Reliability of quantification estimates in MR Spectroscopy: CNNs vs. traditional model fitting	Rudy Rizzo	code
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification	Jiawei Yang	code
Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis	Samira Zare	code
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches	Mengya Xu	code
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need	An Wang	code
Retrieval of surgical phase transitions using reinforcement learning	Yitong Zhang	code
Rib Suppression in Digital Chest Tomosynthesis	Yihua Sun	code
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining	Benjamin Billot	code
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans	Pengxin Yu	code
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning	Manuel Tran	code
Sample hardness based gradient loss for long-tailed cervical cell detection	Minmin Liu	code
SATr: Slice Attention with Transformer for Universal Lesion Detection	Han Li	code
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction	Beliz Gunel	code
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations	Qiuhui Chen	code
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision	Xiangde Luo	code
SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors	Botond Fazekas	code
Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points	Logiraj Kumaralingam	code
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification	Faris Almalik	code
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)	Jue Jiang	code
Self-Supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Correlations	Chi Zhang	code
Semi-supervised histological image segmentation via hierarchical consistency enforcement	Qiangguo Jin	code
Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI	Yi Hao Chan	code
Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization	Qiushi Yang	code
Semi-Supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints	Jinhua Liu	code
Semi-Supervised Spatial Temporal Attention Network for Video Polyp Segmentation	Xinkai Zhao	code
Sensor Geometry Generalization to Untrained Conditions in Quantitative Ultrasound Imaging	SeokHwan Oh	code
SGT: Scene Graph-Guided Transformer for Surgical Report Generation	Chen Lin	code
Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency	Yanda Meng	code
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation	Ke Zhang	code
Show, Attend and Detect: Towards Fine-grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans	Syed Zulqarnain Gilani	code
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans	Jiansheng Fang	code
SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty	Shuai Zhang	code
Spatial-hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification	Wentai Hou	code
Stay focused - Enhancing model interpretability through guided feature training	Alexander C. Jenke	code
Stepwise Feature Fusion: Local Guides Global	Jinfeng Wang	code
Stereo Depth Estimation via Self-Supervised Contrastive Representation Learning	Samyakh Tukra	code
Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework	Dong Zhang	code
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement	Heng Li	code
Super-Focus: Domain Adaptation for Embryo Imaging via Self-Supervised Focal Plane Regression	Peter He	code
SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency	Noam Korngut	code
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus	Debayan Bhattacharya	code
Supervised Deep Learning for Head Motion Correction in PET	Tianyi Zeng	code
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging	Naif Alkhunaizi	code
Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer	Lalithkumar Seenivasan	code
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data	Can Cui	code
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI	Junshen Xu	code
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI	Jiahao Huang	code
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography	Yaojia Zheng	code
Task-relevant Feature Replenishment for Cross-centre Polyp Segmentation	Yutian Shen	code
TBraTS: Trusted Brain Tumor Segmentation	Ke Zou	code
Test Time Transform Prediction for Open Set Histopathological Image Recognition	Adrian Galdran	code
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift	Wenao Ma	code
Test-Time Adaptation with Shape Moments for Image Segmentation	Mathilde Bateson	code
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology	Marin Scalbert	code
TGANet: Text-guided attention for improved polyp segmentation	Nikhil Kumar Tomar	code
The (de)biasing effect of GAN-based augmentation methods on skin lesion images	Agnieszka Mikołajczyk	code
The Dice loss in the context of missing or empty labels: introducing Î¦ and Ïµ	Sofie Tilborghs	code
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning	Nicholas Konz	code
The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference	Wei Dai	code
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes	Taha Emre	code
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction	Numan Saeed	code
Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency	Weijie Ma	code
Towards Holistic Surgical Scene Understanding	Natalia Valderrama	code
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-Modality Data	He Zhao	code
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages	Peter Hirsch	code
TransEM: Residual Swin-Transformer based regularized PET image reconstruction	Rui Hu	code
Transformer based feature fusion for left ventricle segmentation in 4D flow MRI	Xiaowu Sun	code
Transformer based multiple instance learning for weakly supervised histopathology image segmentation	Ziniu Qian	code
Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma	Haoyuan Huang	code
Transformer Lesion Tracker	Wen Tang	code
TranSQ: Transformer-based Semantic Query for Medical Report Generation	Ming Kong	code
Trichomonas Vaginalis Segmentation in Microscope Images	Lin Li	code
UASSR:Unsupervised Arbitrary Scale Super-resolution Reconstruction of Single Anisotropic 3D images via Disentangled Representation Learning?	Jiale Wang	code
ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment	Xiangyu Li	code
Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification	Asmaa Aljuhani	code
Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention	Han Yang	code
UNeXt: MLP-based Rapid Medical Image Segmentation Network	Jeya Maria Jose Valanarasu	code
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification	Zhiyuan Cai	code
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining	Soumen Basu	code
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification	Raheleh Salehi	code
Unsupervised Deep Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention	Takanori Asanomi	code
Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative and Post-Recurrence Brain Tumor MRI Scans	Tony C. W. Mok	code
Unsupervised Nuclei Segmentation using Spatial Organization Priors	Loïc Le Bescond	code
Unsupervised Representation Learning of Cingulate Cortical Folding Patterns	Joël Chavas	code
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models	Yizhe Zhang	code
USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer	Kyungsu Lee	code
Vector Quantisation for Robust Segmentation	Ainkaran Santhirasekaram	code
Visual deep learning-based explanation for neuritic plaques segmentation in Alzheimer's Disease using weakly annotated whole slide histopathological images	Gabriel Jimenez	code
Visual explanations for the detection of diabetic retinopathy from retinal fundus images	Valentyn Boreiko	code
vMFNet: Compositionality Meets Domain-generalised Segmentation	Xiao Liu	code
Vol2Flow: Segment 3D Volumes using a Sequence of Registration Flows	Adeleh Bitarafan	code
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-Contrast MRI Super-resolution	Guangyuan Li	code
Weakly Supervised Online Action Detection for Infant General Movements	Tongyi Luo	code
Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images	Qinghua Zhang	code
Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine	Bailiang Jian	code
What Makes for Automatic Reconstruction of Pulmonary Segments	Kaiming Kuang	code
Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning	Xin Zhang	code
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention	Jiacheng Shi	code
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation	Azade Farshad	code

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MICCAI 2022 Open-Source Papers

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