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MICCAI 2024

856 papers

Zoom Pattern Signatures for Fetal Ultrasound Structures

Mohammad Alsharid, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Zero-shot Low-field MRI Enhancement via Denoising Diffusion Driven Neural Representation

Xiyue Lin, Chenhe Du, Qing Wu, Xuanyu Tian, Jingyi Yu

XTranPrune: eXplainability-aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification

Ali Ghadiri, Maurice Pagnucco, Yang Song

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization

Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen

XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography

Baochang Zhang, Zichen Zhang, Shuting Liu, Shahrooz Faghihroohi, Heribert Schunkert

WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI

Pengcheng Xue, Dong Nie, Meijiao Zhu, Ming Yang, Han Zhang

WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images

Pingyi Chen, Honglin Li, Chenglu Zhu, Sunyi Zheng, Zhongyi Shui

WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration

Xinxing Cheng, Xi Jia, Wenqi Lu, qiufu li, Linlin Shen

WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising

Haoyu Zhao, Yuliang Gu, Zhou Zhao, Bo Du, Yongchao Xu

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert

When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation

Xi Zhu, Wei Zhang, Yijie Li, Lauren J. O’Donnell, Fan Zhang

When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels

Yifan liu, Wuyang Li, Cheng Wang, Hui Chen, Yixuan Yuan

Weak-supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation

Haijun Lei, Guanjiie Tong, Huaqiang Su, Baiying Lei

Weakly-supervised Medical Image Segmentation with Gaze Annotations

Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou

Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-Label Learning

Haoyu Wang, Kehan Li, Jihua Zhu, Fan Wang, Chunfeng Lian

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations

Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert

Voxel Scene Graph for Intracranial Hemorrhage

Antoine P. Sanner, Nils F. Grauhan, Marc A. Brockmann, Ahmed E. Othman, Anirban Mukhopadhyay

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Siyeop Yoon, Matthew Tivnan, Rui Hu, Yuang Wang, Young-don Son

Volume-optimal persistence homological scaffolds of hemodynamic networks covary with MEG theta-alpha aperiodic dynamics

Nghi Nguyen, Tao Hou, Enrico Amico, Jingyi Zheng, Huajun Huang

VolumeNeRF: CT Volume Reconstruction from a Single Projection View

Jiachen Liu, Xiangzhi Bai

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal

Visual-Textual Matching Attention for Lesion Segmentation in Chest Images

Phuoc-Nguyen Bui, Duc-Tai Le, Hyunseung Choo

Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction

Gary Sarwin, Alessandro Carretta, Victor Staartjes, Matteo Zoli, Diego Mazzatenta

VideoCutMix: Temporal Segmentation of Surgical Videos in Scarce Data Scenarios

Rohan Raju Dhanakshirur, Mrinal Tyagi, Britty Baby, Ashish Suri, Prem Kalra

Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields

Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist

Vessel-aware aneurysm detection using multi-scale deformable 3D attention

Alberto M. Ceballos-Arroyo, Hieu T. Nguyen, Fangrui Zhu, Shrikanth M. Yadav, Jisoo Kim

VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models

Jinzhou Tang, Yinhao Wu, Zequan Yao, Mingjie Li, Yuan Hong

Vertex Proportion Loss for Multi-Class Cell Detection from Label Proportions

Carolina Pacheco, Florence Yellin, René Vidal, Benjamin Haeffele

VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network

Xiaotong Xie, Yufeng Ye, Tingting Yang, Bin Huang, Bingsheng Huang

VCLIPSeg: Voxel-wise CLIP-Enhanced model for Semi-Supervised Medical Image Segmentation

Lei Li, Sheng Lian, Zhiming Luo, Beizhan Wang, Shaozi Li

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment

Qi Zhang, Xiujian Liu, Heye Zhang, Chenchu Xu, Guang Yang

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling

Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu

URCDM: Ultra-Resolution Image Synthesis in Histopathology

Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction

Ishak Ayad, Cécilia Tarpau, Javier Cebeiro, Mai K. Nguyen

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning

Juncheng Guo, Jianxin Lin, Guanghua Tan, Yuhuan Lu, Zhan Gao

Unsupervised Training of Neural Cellular Automata on Edge Devices

John Kalkhof, Amin Ranem, Anirban Mukhopadhyay

Unsupervised Latent Stain Adaptation for Computational Pathology

Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof

Unsupervised Domain Adaptation using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation

Mingxuan Gu, Mareike Thies, Siyuan Mei, Fabian Wagner, Mingcheng Fan

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis

Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong ZHANG

Universal Semi-Supervised Learning for Medical Image Classification

Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang

uniGradICON: A Foundation Model for Medical Image Registration

Lin Tian, Hastings Greer, Roland Kwitt, Francois-Xavier Vialard, Raul San Jose Estepar

Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information

Hee Guan Khor, Xin Yang, Yihua Sun, Jie Wang, Sijuan Huang

Unified Multi-Modal Learning for Any Modality Combinations in Alzheimer’s Disease Diagnosis

Yidan Feng, Bingchen Gao, Sen Deng, Anqi Qiu, Jing Qin

Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling

Chiyuen Chow, Tingting Dan, Martin Styner, Guorong Wu

Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport

Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu

Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI

Zhicheng Dong, Xiaodong Yue, Yufei Chen, Xujing Zhou, Jiye Liang

Uncertainty-aware meta-weighted optimization framework for domain-generalized medical image segmentation

Seok-Hwan Oh, Guil Jung, Sang-Yun Kim, Myeong-Gee Kim, Young-Min Kim

Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis

Minjae Jeong, Hyuna Cho, Sungyoon Jung, Won Hwa Kim

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models

Tingxiu Chen, Yilei Shi, Zixuan Zheng, Bingcong Yan, Jingliang Hu

UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation

Jiameng Liu, Feihong Liu, Kaicong Sun, Yuhang Sun, Jiawei Huang

Two Projections Suffice for Cerebral Vascular Reconstruction

Alexandre Cafaro, Reuben Dorent, Nazim Haouchine, Vincent Lepetit, Nikos Paragios

TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation

Tingting Yang, Liang Xiao, Yizhe Zhang

Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images

Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li

TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields

Ashish Sinha, Ghassan Hamarneh

Tri-modal Confluence with Temporal Dynamics for Scene Graph Generation in Operating Rooms

Diandian Guo, Manxi Lin, Jialun Pei, He Tang, Yueming Jin

Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking

Roman Naeem, David Hagerman, Lennart Svensson, Fredrik Kahl

Trans-Window Panoramic Impasto for Online Tissue Deformation Recovery

Jiahe Chen, Etsuko Kobayashi, Ichiro Sakuma, Naoki Tomii

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Huan Xu, Jinlin Wu, Guanglin Cao, Zhen Chen, Zhen Lei

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

Charlie Budd, Tom Vercauteren

Training-Free Condition Video Diffusion Models for single frame Spatial-Semantic Echocardiogram Synthesis

Van Phi Nguyen, Tri Nhan Luong Ha, Huy Hieu Pham, Quoc Long Tran

Training ViT with Limited Data for Alzheimer’s Disease Classification: an Empirical Study

Kassymzhomart Kunanbayev, Vyacheslav Shen, Dae-Shik Kim

TractOracle: towards an anatomically-informed reward function for RL-based tractography

Antoine Théberge, Maxime Descoteaux, Pierre-Marc Jodoin

TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM

Wenxue Li, Xinyu Xiong, Peng Xia, Lie Ju, Zongyuan Ge

Towards tDCS Digital Twins using Deep Learning-based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI

Skylar E. Stolte, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Ruogu Fang

Towards Real-time Intrahepatic Vessel Identification in Intraoperative Ultrasound-Guided Liver Surgery

Karl-Philippe Beaudet, Alexandros Karargyris, Sidaty El Hadramy, Stephane Cotin, Jean-Paul Mazellier

Towards realistic needle insertion training simulator using partitioned model order reduction

Félix Vanneste, Claire Martin, Olivier Goury, Hadrien Courtecuisse, Erik Pernod

Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal

Kpêtchéhoué Merveille Santi Zinsou, Cheikh Talibouya Diop, Idy Diop, Apostolia Tsirikoglou, Emmanuel Edwar Siddig

Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss

Jihun Park, Jiuk Hong, Jihun Yoon, Bokyung Park, Min-Kook Choi

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Hong Wu, Juan Fu, Hongsheng Ye, Yuming Zhong, Xuebin Zou

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow

Marvin Tom Teichmann, Manasi Datar, Lisa Kratzke, Fernando Vega, Florin C. Ghesu

Towards Graph Neural Networks with Domain-Generalizable Explainability for fMRI-Based Brain Disorder Diagnosis

Xinmei Qiu, Fan Wang, Yongheng Sun, Chunfeng Lian, Jianhua Ma

Towards Explainable Automated Neuroanatomy

Kui Qian, Litao Qiao, Beth Friedman, Edward O’Donnell, David Kleinfeld

Towards a text-based quantitative and explainable histopathology image analysis

Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak

Towards a Deeper insight into Face Detection in Neonatal wards

Yisheng Zhao, Huaiyu Zhu, Qi Shu, Ruohong Huan, Shuohui Chen

Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development

Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning

Bomin Wang, Xinzhe Luo, Xiahai Zhuang

Topologically faithful multi-class segmentation in medical images

Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Bürgin, Suprosanna Shit

Topological SLAM in colonoscopies leveraging deep features and topological priors

Javier Morlana, Juan D. Tardós, Jose M. M. Montiel

Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Tianxiang Huang, Jing Shi, Ge Jin, Juncheng Li, Jun Wang

Topological Cycle Graph Attention Network for Brain Functional Connectivity

Jinghan Huang, Nanguang Chen, Anqi Qiu

TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration

Nian Wu, Jiarui Xing, Miaomiao Zhang

TinyU-Net: Lighter yet Better U-Net with Cascaded Multi-Receptive Fields

Junren Chen, Rui Chen, Wei Wang, Junlong Cheng, Lei Zhang

ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies

Ashwath Radhachandran, Alekhya Vittalam, Vedrana Ivezic, Vivek Sant, Shreeram Athreya

This actually looks like that: Proto-BagNets for local and global interpretability-by-design

Kerol Djoumessi, Bubacarr Bah, Laura Kühlewein, Philipp Berens, Lisa Koch

The MRI Scanner as a Diagnostic: Image-less Active Sampling

Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris

The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy

Cesar Acebes, Abdel Hakim Moustafa, Oscar Camara, Adrian Galdran

Textual Inversion and Self-supervised Refinement for Radiology Report Generation

yuanjiang luo, Hongxiang Li, Xuan Wu, Meng Cao, Xiaoshuang Huang

TextPolyp: Point-supervised Polyp Segmentation with Text Cues

Yiming Zhao, Yi Zhou, Yizhe Zhang, Ye Wu, Tao Zhou

Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation

Aibing Li, Xinyi Zeng, Pinxian Zeng, Sixian Ding, Peng Wang

TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna Gyawali

Temporal Neighboring Multi-Modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction

Jingwen Xu, Ye Zhu, Fei Lyu, Grace Lai-Hung Wong, Pong C. Yuen

TeleOR: Real-time Telemedicine System for Full-Scene Operating Room

Yixuan Wu, Kaiyuan Hu, Qian Shao, Jintai Chen, Danny Z. Chen

TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs

Chenfan Xu, Zhentao Liu, Yuan Liu, Yulong Dou, Jiamin Wu

TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI

Yunxi Zhao, Dong Nie, Geng Chen, Xia Wu, Daoqiang Zhang

TAPoseNet: Teeth Alignment based on Pose estimation via multi-scale Graph Convolutional Network

Qingxin Deng, Xunyu Yang, Minghan Huang, Landu Jiang, Dian Zhang

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification

Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei

Tail-Enhanced Representation Learning for Surgical Triplet Recognition

Shuangchun Gui, Zhenkun Wang

Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer

Xiaofeng Liu, Fangxu Xing, Zhangxing Bian, Tomás Arias-Vergara, Paula Andrea Pérez-Toro

TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion

Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson, Alin Achim