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MICCAI 2022 Open-Source Papers

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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 Lüdke 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 Φ and ϵ 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