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MICCAI 2024

856 papers

TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI

Mattia Litrico, Francesco Guarnera, Mario Valerio Giuffrida, Daniele Ravì, Sebastiano Battiato

Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou

TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing

Michal K. Grzeszczyk, Przemysław Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski

Synchronous Image-Label Diffusion with Anisotropic Noise for Stroke Lesion Segmentation on Non-contrast CT

Jianhai Zhang, Tonghua Wan, M. Ethan MacDonald, Bijoy K. Menon, Wu Qiu

SynCellFactory: Generative Data Augmentation for Cell Tracking

Moritz Sturm, Lorenzo Cerrone, Fred A. Hamprecht

Symptom Disentanglement in Chest X-ray Images for Fine-Grained Progression Learning

Ye Zhu, Jingwen Xu, Fei Lyu, Pong C. Yuen

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis

Yang Ma, Dongang Wang, Peilin Liu, Lynette Masters, Michael Barnett

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu

Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation

Szymon Płotka, Maciej Chrabaszcz, Przemyslaw Biecek

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast

Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar

Survival analysis of histopathological image based on a pretrained hypergraph model of spatial transcriptomics data

Shangyan Cai, Weitian Huang, Weiting Yi, Bin Zhang, Yi Liao

SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction

Weixing Xie, Junfeng Yao, Xianpeng Cao, Qiqin Lin, Zerui Tang

Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition

Shu Yang, Luyang Luo, Qiong Wang, Hao Chen

Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis

Yuan Li, Xinyu Nie, Jianwei Zhang, Yonggang Shi

Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt

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

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion

Austin Tapp, Can Zhao, Holger R. Roth, Jeffrey Tanedo, Syed Muhammad Anwar

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification

Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen

Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy

Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael Muehlebach

Structure-preserving Image Translation for Depth Estimation in Colonoscopy

Shuxian Wang, Akshay Paruchuri, Zhaoxi Zhang, Sarah McGill, Roni Sengupta

Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao

Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis

Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao

Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation

Yaxiong Chen, Yujie Wang, Zixuan Zheng, Jingliang Hu, Yilei Shi

Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography

Yixiao Guo, Yuru Pei, Si Chen, Zhi-bo Zhou, Tianmin Xu

StereoDiffusion: Temporally Consistent Stereo Depth Estimation with Diffusion Models

Haozheng Xu, Chi Xu, Stamatia Giannarou

Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing

Meilu Zhu, Qiushi Yang, Zhifan Gao, Jun Liu, Yixuan Yuan

STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos

Divyanshu Mishra, Pramit Saha, He Zhao, Olga Patey, Aris T. Papageorghiou

Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Tianyu Lin, Zhiguang Chen, Zhonghao Yan, Weijiang Yu, Fudan Zheng

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

Andrea Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel Lago, Berkman Sahiner

S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation

Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel

SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging

Yuliang Zhu, Jing Cheng, Zhuo-Xu Cui, Jianfeng Ren, Chengbo Wang

Spot the Difference: Difference Visual Question Answering with Residual Alignment

Zilin Lu, Yutong Xie, Qingjie Zeng, Mengkang Lu, Qi Wu

SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging

Ajibola S. Oladokun, Bessie Malila, Victor M. Campello, Muki Shey, Tinashe E. M. Mutsvangwa

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

Chengzhi Shen, Martin J. Menten, Hrvoje Bogunović, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl

Spatio-temporal neural distance fields for conditional generative modeling of the heart

Kristine Sørensen, Paula Diez, Jan Margeta, Yasmin El Youssef, Michael Pham

Spatiotemporal Graph Neural Network Modelling Perfusion MRI

Ruodan Yan, Carola-Bibiane Schönlieb, CHAO LI

Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography

Xinghua Ma, Mingye Zou, Xinyan Fang, Yang Liu, Gongning Luo

Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays

Jixiang Chen, Yiqun Lin, Haoran Sun, Xiaomeng Li

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image

Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu

Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction

yan yang, Md Zakir Hossain, Xuesong Li, Shafin Rahman, Eric Stone

Spatial Diffusion for Cell Layout Generation

Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen

Spatial Context Awareness in Surgery through Sound Source Localization

Matthias Seibold, Ali Bahari Malayeri, Philipp Fürnstahl

Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis

Mingyuan Liu, Lu Xu, Shengnan Liu, Jicong Zhang

Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis

Zeinab Abboud, Herve Lombaert, Samuel Kadoury

SOM2LM: Self-Organized Multi-Modal Longitudinal Maps

Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl

SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification

Tong Shu, Jun Shi, Dongdong Sun, Zhiguo Jiang, Yushan Zheng

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment

Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning

Qinji Yu, Yirui Wang, Ke Yan, Le Lu, Na Shen

Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

Kyobin Choo, Youngjun Jun, Mijin Yun, Seong Jae Hwang

SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime

SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection

Xinyi Wang, Zikang Xu, Heqin Zhu, Qingsong Yao, Yiyong Sun

SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement

Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian

SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression

Trung Dang, Huy Hoang Nguyen, Aleksei Tiulpin

Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization

Mazlum Ferhat Arslan, Weihong Guo, Shuo Li

Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model

Yushen Xu, Xiaosong Li, Yuchan Jie, Haishu Tan

Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks

Wenkang Fan, Wenjing Jiang, Hao Fang, Hong Shi, Jianhua Chen

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images

Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wälchli

Simulation Based Inference for PET iterative reconstruction

Bastien Bergere, Thomas Dautremer, Claude Comtat

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen

Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network

Xinquan Yang, Xuguang Li, Xiaoling Luo, Leilei Zeng, Yudi Zhang

SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders

Debashis Das Chakladar, Foteini Simistira Liwicki, Rajkumar Saini

SiFT: A Serial Framework with Textual Guidance for Federated Learning

Xuyang Li, Weizhuo Zhang, Yue Yu, Wei-Shi Zheng, Tong Zhang

Shortcut Learning in Medical Image Segmentation

Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten B. S. Svendsen

ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation

Ruohua Shi, Qiufan Pang, Lei Ma, Lingyu Duan, Tiejun Huang

SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation

Ruixuan Zhang, Wenhuan Lu, Cuntai Guan, Jie Gao, Xi Wei

Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency

Ruiyun Zhu, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori

Semi-supervised Segmentation through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy

Eunjin Kim, Gitaek Kwon, Jaeyoung Kim, Hyunjin Park

Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion

Haoshen Li, Yirui Wang, Jie Zhu, Dazhou Guo, Qinji Yu

Semi-Supervised Learning for Deep Causal Generative Models

Yasin Ibrahim, Hermione Warr, Konstantinos Kamnitsas

Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images

Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel Saltz

Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images

Kechun Liu, Wenjun Wu, Joann G. Elmore, Linda G. Shapiro

Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization

Sebastian Doerrich, Francesco Di Salvo, Christian Ledig

Self-supervised Learning with Adaptive Graph Structure and Function Representation For Cross-Dataset Brain Disorder Diagnosis

Dongdong Chen, Linlin Yao, Mengjun Liu, Zhenrong Shen, Yuqi Hu

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representations

Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter, Wenqi Huang, Rickmer F. Braren

Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain

Zhenghong Li, Jiaxiang Ren, Zhilin Zou, Kalyan Garigapati, Congwu Du

Self-Supervised Contrastive Graph Views for Learning Neuron-level Circuit Network

Junchi Li, Guojia Wan, Minghui Liao, Fei Liao, Bo Du

Self-supervised 3D Skeleton Completion for Vascular Structures

Jiaxiang Ren, Zhenghong Li, Wensheng Cheng, Zhilin Zou, Kicheon Park

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation

Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras

Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation

Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaiane

Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases

Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang

SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model

Yanchao Zhang, Jinyue Guo, Hao Zhai, Jing Liu, Hua Han

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, LEI ZHU

Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT

Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Tomasz Bartczak, Karol Miszalski-Jamka

See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos

Ziyuan Zhao, Fen Fang, Xulei Yang, Qianli Xu, Cuntai Guan

SDFPlane: Explicit Neural Surface Reconstruction of Deformable Tissues

Hao Li, Jiwei Shan, Hesheng Wang

SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation

Bentao Song, Qingfeng Wang

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

Zekang Yang, Hong Liu, Xiangdong Wang

SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation

Taimin Zhou, Jin Yang, Lingguo Cui, Nan Zhang, Senchun Chai

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography

Pengyu Dai, Yafei Ou, Yuqiao Yang, Dichao Liu, Masahiro Hashimoto

SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation

Ying He, Marc E. Miquel, Qianni Zhang

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation

Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen

SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology

Bishal R. Swain, Kyung J. Cheoi, Jaepil Ko

SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation

Qiang Hu, Zhenyu Yi, Ying Zhou, Fang Peng, Mei Liu

RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

Hongbo Chen, Yuchong Gao, Shuhang Zhang, Jiangjie Wu, Yuexin Ma

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Xi Wu

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

Xiaogen Zhou, Yiyou Sun, Min Deng, Winnie Chiu Wing Chu, Qi Dou

Robust Conformal Volume Estimation in 3D Medical Images

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat

RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation

Wei Dai, Yinghao Yao, Hengte Kong, Zhen Ji Chen, Sheng wang

Revisiting Self-Attention in Medical Transformers via Dependency Sparsification

Xian Lin, Zhehao Wang, Zengqiang Yan, Li Yu

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection

Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen

RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification

Hongbo Chu, Qiehe Sun, Jiawen Li, Yuxuan Chen, Lizhong Zhang