MICCAI 2024

856 papers

Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering

Xiao Liang, Yin Wang, Di Wang, Zhicheng Jiao, Haodi Zhong

Letting Osteocytes Teach SR-microCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising

Isabella Poles, Marco D. Santambrogio, Eleonora D’Arnese

Let Me DeCode You: Decoder Conditioning with Tabular Data

Tomasz Szczepański, Michal K. Grzeszczyk, Szymon Płotka, Arleta Adamowicz, Piotr Fudalej

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets

Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng

Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations

Taha Emre, Arunava Chakravarty, Dmitrii Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth

Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation

Weihao Weng, Xin Zhu

Learning from Partial Label Proportions for Whole Slide Image Segmentation

Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada

Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound

Arianna Bunnell, Yannik Glaser, Dustin Valdez, Thomas Wolfgruber, Aleen Altamirano

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction

Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li

Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations

Yao Wang, Jiahao Chen, Wenjian Huang, Pei Dong, Zhen Qian

LB-UNet: A Lightweight Boundary-assisted UNet for Skin Lesion Segmentation

Jiahao Xu, Lyuyang Tong

LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression

Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité

Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

Edward Wang, Ryan Au, Pencilla Lang, Sarah A. Mattonen

Large-Scale 3D Infant Face Model

Till N. Schnabel, Yoriko Lill, Benito K. Benitez, Prasad Nalabothu, Philipp Metzler

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen

Language-Enhanced Local-Global Aggregation Network for Multi-Organ Trauma Detection

Jianxun Yu, Qixin Hu, Meirui Jiang, Yaning Wang, Chin Ting Wong

LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes

Julian Suk, Baris Imre, Jelmer M. Wolterink

Label-guided Teacher for Surgical Phase Recognition via Knowledge Distillation

Jiale Guan, Xiaoyang Zou, Rong Tao, Guoyan Zheng

Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation

Aaron Kujawa, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren

k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging

Ye Liu, Zhuo-Xu Cui, Kaicong Sun, Ting Zhao, Jing Cheng

Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation

Lin Teng, Zihao Zhao, Jiawei Huang, Zehong Cao, Runqi Meng

Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training

Aisha Urooj Khan, John Garrett, Tyler Bradshaw, Lonie Salkowski, Jiwoong Jeong

Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning

Yupei Zhang, Xiaofei Wang, Fangliangzi Meng, Jin Tang, CHAO LI

Keypoint Matching for Instrument-Free 3D Registration in Video-based Surgical Navigation

Tânia Baptista, Carolina Raposo, Miguel Marques, Michel Antunes, Joao P. Barreto

KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models

Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu

Jumpstarting Surgical Computer Vision

Deepak Alapatt, Aditya Murali, Vinkle Srivastav, AI4SafeChole Consortium, Pietro Mascagni

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck

Joint EM Image Denoising and Segmentation with Instance-aware Interaction

Zhicheng Wang, Jiacheng Li, Yinda Chen, Jiateng Shou, Shiyu Deng

IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI

Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification

Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng

Is this hard for you? Personalized human difficulty estimation for skin lesion diagnosis

Peter Johannes Tejlgaard Kampen, Anders Nymark Christensen, Morten Rieger Hannemose

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation

Guoning Zhang, Xiaoran Qi, Bo Yan, Guotai Wang

IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation

Xinrui Huang, Dongming He, Zhenming Li, Xiaofan Zhang, Xudong Wang

Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning

Jianmei Jiang, Huijin Wang, Jieyun Bai, Shun Long, Shuangping Chen

Intraoperative Registration by Cross-Modal Inverse Neural Rendering

Maximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent, Hassan Rasheed, Colin Galvin

Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling

Julius Gervelmeyer, Sarah Müller, Kerol Djoumessi, David Merle, Simon J. Clark

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation

Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization

Maxime Di Folco, Cosmin I. Bercea, Emily Chan, Julia A. Schnabel

Interpretable phenotypic profiling of 3D cellular morphodynamics

Matt De Vries, Reed Naidoo, Olga Fourkioti, Lucas G. Dent, Nathan Curry

Inter-Intra High-Order Brain Network for ASD Diagnosis via Functional MRIs

Xiangmin Han, Rundong Xue, Shaoyi Du, Yue Gao

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Zhan Shi, Jingwei Zhang, Jun Kong, Fusheng Wang

Integrating Clinical Knowledge into Concept Bottleneck Models

Winnie Pang, Xueyi Ke, Satoshi Tsutsui, Bihan Wen

InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations

Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim

Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan

Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System

Ziyuan Yang, Yingyu Chen, Mengyu Sun, Yi Zhang

Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu

In vivo deep learning estimation of diffusion coefficients of nanoparticles

Julius B. Kirkegaard, Nikolay P. Kutuzov, Rasmus Netterstrøm, Sune Darkner, Martin Lauritzen

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model

Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data

Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet, Jordina Aviles Verdera, Jana Hutter

Improving cone-beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Joonil Hwang, Sangjoon Park, NaHyeon Park, Seungryong Cho, Jin Sung Kim

Improved Esophageal Varices Assessment from Non-Contrast CT Scans

Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu

Improved Classification Learning from Highly Imbalanced Multi-Label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation

Robert Cobb, Gary J. R. Cook, Andrew J. Reader

Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures

Minghui Zhang, Hanxiao Zhang, Xin You, Guang-Zhong Yang, Yun Gu

Immune-guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging

Tanishq Gautam, Karina P. Gonzalez, Maria E. Salvatierra, Alejandra Serrano, Pingjun Chen

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich

IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis

Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse

Image Distillation for Safe Data Sharing in Histopathology

Zhe Li, Bernhard Kainz

IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO)

Mahmoud SalahEldin Kasem, Abdelrahman Abdallah, Ibrahim Abdelhalim, Norah Saleh Alghamdi, Sohail Contractor

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images

Yejia Zhang, Hanqing Chao, Zhongwei Qiu, Wenbin Liu, Yixuan Shen

IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography

Weili Jiang, Yiming Li, Zhang Yi, Jianyong Wang, Mao Chen

I2Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation

Jiahao Yu, Fan Duan, Li Chen

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan

HyperSpace: Hypernetworks for spacing-adaptive image segmentation

Samuel Joutard, Maximilian Pietsch, Raphael Prevost

Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation

Lingyu Chen, Yue Wang, Zhe Zhao, Hongen Liao, Daoqiang Zhang

HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound-probe pose estimation

Manuel Birlo, Razvan Caramalau, Philip J. “Eddie” Edwards, Brian Dromey, Matthew J. Clarkson

HuLP: Human-in-the-Loop for Prognosis

Muhammad Ridzuan, Mai A. Shaaban, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub

HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation

Ziyuan Ding, Yixiong Liang, Shichao Kan, Qing Liu

HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images

Joseph Bae, Saarthak Kapse, Lei Zhou, Kartik Mani, Prateek Prasanna

HistoSyn: Histomorphology-Focused Pathology Image Synthesis

Chong Yin, Siqi Liu, Vincent Wai-Sun Wong, Pong C. Yuen

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang

High-resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning

Wei Zhang, Tik Ho Hui, Pui Ying Tse, Fraser Hill, Condon Lau

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning

Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman Khan

Hierarchical Symmetric Normalization Registration using Deformation-Inverse Network

Qingrui Sha, Kaicong Sun, Mingze Xu, Yonghao Li, Zhong Xue

Hierarchical multiple instance learning for COPD grading with relatively specific similarity

Hao Zhang, Mingyue Zhao, Mingzhu Liu, Jiejun Luo, Yu Guan

Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction

Yu Jiang, Zhibin He, Zhihao Peng, Yixuan Yuan

HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis

Xinpeng Ding, Yongqiang Chu, Renjie Pi, Hualiang Wang, Xiaomeng Li

HF-ResDiff: High-Frequency-guided Residual Diffusion for Multi-dose PET Reconstruction

Zixin Tang, Caiwen Jiang, Zhiming Cui, Dinggang Shen

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration

Xiaoran Zhang, Daniel H. Pak, Shawn S. Ahn, Xiaoxiao Li, Chenyu You

Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI

Xiang Pan, Shiyun Nie, Tianxu Lv, Lihua Li

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

Xinrui Zhou, Yuhao Huang, Wufeng Xue, Haoran Dou, Jun Cheng

HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent?

Gašper Podobnik, Tomaž Vrtovec

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis

Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos

Pooya Mobadersany, Chaitanya Parmar, Pablo F. Damasceno, Shreyas Fadnavis, Krishna Chaitanya

Hard Negative Sample Mining for Whole Slide Image Classification

Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen

HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment

K. M. Arefeen Sultan, Md Hasibul Husain Hisham, Benjamin Orkild, Alan Morris, Eugene Kholmovski

Hallucination Index: An Image Quality Metric for Generative Reconstruction Models

Matthew Tivnan, Siyeop Yoon, Zhennong Chen, Xiang Li, Dufan Wu

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation

Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

Jinpeng Lu, Jingyun Chen, Linghan Cai, Songhan Jiang, yongbing zhang

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks

Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Yanjun Lyu

Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions

Fanwen Wang, Yihao Luo, Ke Wen, Jiahao Huang, Pedro F. Ferreira

Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising

Li Zhou, Dayang Wang, Yongshun Xu, Shuo Han, Bahareh Morovati

Goal-conditioned reinforcement learning for ultrasound navigation guidance

Abdoul Aziz Amadou, Vivek Singh, Florin C. Ghesu, Young-Ho Kim, Laura Stanciulescu

GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation

ZhiPeng Xiang, ShaoGuo Cui, CaoZhi Shang, Jingfeng Jiang, Liqiang Zhang

GMM-CoRegNet: A Multimodal Groupwise Registration Framework Based on Gaussian Mixture Model

Zhenyu Li, Fan Yu, Jie Lu, Zhen Qian

Glioblastoma segmentation from early post-operative MRI: challenges and clinical impact

Ragnhild Holden Helland, David Bouget, Roelant S. Eijgelaar, Philip C. De Witt Hamer, Frederik Barkhof

Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos

Jayroop Ramesh, Nicola Dinsdale, Pak-Hei Yeung, Ana I. L. Namburete

Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction

Fangliangzi Meng, Hongrun Zhang, Ruodan Yan, Guohui Chuai, CHAO LI

Generating Progressive Images from Pathological Transitions via Diffusion Model

Zeyu Liu, Tianyi Zhang, Yufang He, Guanglei Zhang

Generating Anatomically Accurate Heart Structures via Neural Implicit Fields

Jiancheng YANG, Ekaterina Sedykh, Jason Ken Adhinarta, Hieu Le, Pascal Fua