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MICCAI 2024

856 papers

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations

Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng

Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia

Zipei Yan, Zhile Liang, Zhengji Liu, Shuai Wang, Rachel Ka-Man Chun

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph

Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen

GCAN: Generative Counterfactual Attention-guided Network for Explainable Cognitive Decline Diagnostics based on fMRI Functional Connectivity

Xiongri Shen, Zhenxi Song, Zhiguo Zhang

GBT: Geometric-oriented Brain Transformer for Autism Diagnosis

Zhihao Peng, Zhibin He, Yu Jiang, Pengyu Wang, Yixuan Yuan

Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image

Shaoxuan Wu, Xiao Zhang, Bin Wang, Zhuo Jin, Hansheng Li

Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening

Yan Kong, Sheng wang, Jiangdong Cai, Zihao Zhao, Zhenrong Shen

Gaussian Pancakes: Geometrically-Regularized 3D Gaussian Splatting for Realistic Endoscopic Reconstruction

Sierra Bonilla, SHUAI ZHANG, Dimitrios Psychogyios, Danail Stoyanov, Francisco Vasconcelos

Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis

Zirui Zhou, Junhao Liang, Zizhao Peng, Chao Fan, Fengwei An

Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation

Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing

Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance

Weiyi Zhang, Siyu Huang, Jiancheng YANG, Ruoyu Chen, Zongyuan Ge

FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern Menze

fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning

Pengyu Wang, Huaqi Zhang, Zhibin He, Zhihao Peng, Yixuan Yuan

From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos

Wuyang Li, Xinyu Liu, Qiushi Yang, Yixuan Yuan

From Pixel to Cancer: Cellular Automata in Computed Tomography

Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan Yuille, Zongwei Zhou

Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction

Jiaxin Guo, Jiangliu Wang, Di Kang, Wenzhen Dong, WenTing Wang

FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation

Along He, Tao Li, Yanlin Wu, Ke Zou, Huazhu Fu

Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT

Arunava Chakravarty, Taha Emre, Dmitrii Lachinov, Antoine Rivail, Hendrik P. N. Scholl

Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images

Yimeng Geng, GAOFENG MENG, Mingcong Chen, Guanglin Cao, Mingyang Zhao

Follow the Radiologist: Clinically Relevant Multi-View Cues for Breast Cancer Detection from Mammograms

Kshitiz Jain, Krithika Rangarajan, Chetan Arora

Follow Sonographers’ Visual Scan-path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound

Xin Tang, Zhi Cao, Weijing Zhang, Di Zhao, Hongen Liao

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks

Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation

Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei

FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis

Santosh Sanjeev, Nuren Zhaksylyk, Ibrahim Almakky, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi

Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification

Yijin Huang, Pujin Cheng, Roger Tam, Xiaoying Tang

Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Zhongnuo Yan, Xin Yang, Mingyuan Luo, Jiongquan Chen, Rusi Chen

Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier

Yi Li, Qixiang Zhang, Tianqi Xiang, Yiqun Lin, Qingling Zhang

Few-Shot Domain Adaptive Object Detection for Microscopic Images

Sumayya Inayat, Nimra Dilawar, Waqas Sultani, Mohsen Ali

Few-shot Adaptation of Medical Vision-Language Models

Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang

Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion

Meng Zheng, Benjamin Planche, Zhongpai Gao, Terrence Chen, Richard J. Radke

Few Slices Suffice: Multi-Faceted Consistency Learning with Active Cross-Annotation for Barely-supervised 3D Medical Image Segmentation

Xinyao Wu, Zhe Xu, Raymond Kai-yu Tong

Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation

Junpeng Tan, Xin Zhang, Chunmei Qing, Chaoxiang Yang, He Zhang

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging

Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity

Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Kwang-Ting Cheng

FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging

Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr

FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness

Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng

FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

Yuxi Liu, Guibo Luo, Yuesheng Zhu

FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation

Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia

Federated Multi-Centric Image Segmentation with Uneven Label Distribution

Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, Maria A. Zuluaga

Feature-prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation

Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang

Feature Selection Gates with Gradient Routing for Endoscopic Image Computing

Giorgio Roffo, Carlo Biffi, Pietro Salvagnini, Andrea Cherubini

Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition

Yimin Zhao, Jin Gu

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

McKell Woodland, Austin Castelo, Mais Al Taie, Jessica Albuquerque Marques Silva, Mohamed Eltaher

FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

Marawan Elbatel, Keyuan Liu, Yanqi Yang, Xiaomeng Li

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Yiqing Shen, Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal

FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification

Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak

FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis

Yuanbo Guo, Zhenge Jia, Jingtong Hu, Yiyu Shi

FairDiff: Fair Segmentation with Point-Image Diffusion

Wenyi Li, Haoran Xu, Guiyu Zhang, Huan-ang Gao, Mingju Gao

Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels

Aayushman, Hemanth Gaddey, Vidhi Mittal, Manisha Chawla, Gagan Raj Gupta

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification

Yihang Wu, Christian Desrosiers, Ahmad Chaddad

F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction

Zhibin He, Wuyang Li, Yu Jiang, Zhihao Peng, Pengyu Wang

Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis

Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang

Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining

Yueheng Li, Xianchao Guan, Yifeng Wang, yongbing zhang

Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets

Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen

Explanation-driven Cyclic Learning for High-Quality Brain MRI Reconstruction from Unknown Degradation

Ning Jiang, Zhengyong Huang, Yao Sui

Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification

Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén, Mattias Lorentzon, Ida Häggström

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

Yibo Gao, Zheyao Gao, Xin Gao, Yuanye Liu, Bomin Wang

Evaluating the Quality of Brain MRI Generators

Jiaqi Wu, Wei Peng, Binxu Li, Yu Zhang, Kilian M. Pohl

Evaluating the Fairness of Neural Collapse in Medical Image Classification

Kaouther Mouheb, Marawan Elbatel, Stefan Klein, Esther E. Bron

Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

Rachaell Nihalaani, Tushar Kataria, Jadie Adams, Shireen Y. Elhabian

Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans

Mohammed Munzer Dwedari, William Consagra, Philip Müller, Özgün Turgut, Daniel Rueckert

ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation

Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ahmad P. Tafti, Charles S. DeCarli, Dana L. Tudorascu

Epileptic Seizure Detection in SEEG Signals using a Unified Multi-scale Temporal-Spatial-Spectral Transformer Model

Zhuoyi Li, Wenjun Li, Ning Zhu, Junwei Han, Tianming Liu

Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration

Long Lei, Jun Zhou, Jialun Pei, Baoliang Zhao, Yueming Jin

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection

Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz

Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology

Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel

Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning

Peixian Liang, Hao Zheng, Hongming Li, Yuxin Gong, Spyridon Bakas

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge

Lemuel Puglisi, Daniel C. Alexander, Daniele Ravì

Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration

Peyman Tahghighi, Yunyan Zhang, Roberto Souza, Amin Komeili

Enhancing Model Generalisability through Sampling Diverse and Balanced Retinal Images

Tianfeng Zhou, Yukun Zhou

Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models

Chun-Mei Feng

Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns

Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu

Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion

Gabriel Mejia, Daniela Ruiz, Paula Cárdenas, Leonardo Manrique, Daniela Vega

Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

Diwei Wang, Kun Yuan, Candice Muller, Frédéric Blanc, Nicolas Padoy

Enhancing Federated Learning Performance Fairness via Collaboration Graph-based Reinforcement Learning

Yuexuan Xia, Benteng Ma, Qi Dou, Yong Xia

Enhanced-quickDWI: Achieving equivalent clinical quality by denoising heavily sub-sampled diffusion-weighted imaging data

Konstantinos Zormpas-Petridis, Antonio Candito, Christina Messiou, Dow-Mu Koh, Matthew D. Blackledge

Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling

Ruofeng Wei, Bin Li, Kai Chen, Yiyao Ma, Yunhui Liu

Energy-Based Controllable Radiology Report Generation with Medical Knowledge

Zeyi Hou, Ruixin Yan, Ziye Yan, Ning Lang, Xiuzhuang Zhou

EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy

Long Bai, Tong Chen, Qiaozhi Tan, Wan Jun Nah, Yanheng Li

EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting

Chenxin Li, Brandon Y. Feng, Yifan liu, Hengyu Liu, Cheng Wang

EndoSelf: Self-Supervised Monocular 3D Scene Reconstruction of Deformable Tissues with Neural Radiance Fields on Endoscopic Videos

Wenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa

Endora: Video Generation Models as Endoscopy Simulators

Chenxin Li, Hengyu Liu, Yifan liu, Brandon Y. Feng, Wuyang Li

EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Kailing Wang, chen yang, Yuehao Wang, Sikuang Li, Yan Wang

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis

Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang

EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera

Beilei Cui, Mobarakol Islam, Long Bai, An Wang, Hongliang Ren

Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting

Yiming Huang, Beilei Cui, Long Bai, Ziqi Guo, Mengya Xu

Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance

Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim

Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging

Zhipeng Deng, Luyang Luo, Hao Chen

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

Ao Chang, Jiajun Zeng, Ruobing Huang, Dong Ni

EMF-former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation

Zhaoquan Hao, Hongyan Quan, Yinbin Lu

Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology

Chloe He, Neringa Karpavičiūtė, Rishabh Hariharan, Céline Jacques, Jérôme Chambost

Embracing Massive Medical Data

Yu-Cheng Chou, Zongwei Zhou, Alan Yuille

EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos

Ryo Fujii, Masashi Hatano, Hideo Saito, Hiroki Kajita

Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection

Chenwei Wu, David Restrepo, Zitao Shuai, Zhongming Liu, Liyue Shen

Efficient Cortical Surface Parcellation via Full-Band Diffusion Learning at Individual Space

Yuanzhuo Zhu, Chunfeng Lian, Xianjun Li, Fan Wang, Jianhua Ma

Efficient and Gender-adaptive Graph Vision Mamba for Pediatric Bone Age Assessment

Lingyu Zhou, Zhang Yi, Kai Zhou, Xiuyuan Xu

Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning

Antoine Legouhy, Ross Callaghan, Whitney Stee, Philippe Peigneux, Hojjat Azadbakht

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography

Md Abulkalam Azad, Artem Chernyshov, John Nyberg, Ingrid Tveten, Lasse Lovstakken

EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas Day

EchoNarrator: Generating natural text explanations for ejection fraction predictions

Sarina Thomas, Qing Cao, Anna Novikova, Daria Kulikova, Guy Ben-Yosef