MICCAI (3)

Keyphrases

Publications

2023

Álvaro González-Jiménez, Simone Lionetti, Philippe Gottfrois, Fabian Gröger, Marc Pouly, Alexander A. Navarini
Robust T-Loss for Medical Image Segmentation. MICCAI (3) (2023)
Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher
Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. MICCAI (3) (2023)
Adrian Galdran, Johan W. Verjans, Gustavo Carneiro, Miguel Ángel González Ballester
Multi-Head Multi-Loss Model Calibration. MICCAI (3) (2023)
Junhao Lin, Qian Dai, Lei Zhu, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, Liansheng Wang
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. MICCAI (3) (2023)
Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. MICCAI (3) (2023)
Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. MICCAI (3) (2023)
Zhipeng Deng, Luyang Luo, Hao Chen
Scale Federated Learning for Label Set Mismatch in Medical Image Classification. MICCAI (3) (2023)
Mayank Gupta, Soumen Basu, Chetan Arora
How Reliable are the Metrics Used for Assessing Reliability in Medical Imaging? MICCAI (3) (2023)
John Kalkhof, Anirban Mukhopadhyay
M3D-NCA: Robust 3D Segmentation with Built-In Quality Control. MICCAI (3) (2023)
Jadie Adams, Shireen Y. Elhabian
Fully Bayesian VIB-DeepSSM. MICCAI (3) (2023)
Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) (2023)
Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
SMRD: SURE-Based Robust MRI Reconstruction with Diffusion Models. MICCAI (3) (2023)
Adrian Galdran
Performance Metrics for Probabilistic Ordinal Classifiers. MICCAI (3) (2023)
Charles Jones, Mélanie Roschewitz, Ben Glocker
The Role of Subgroup Separability in Group-Fair Medical Image Classification. MICCAI (3) (2023)
Nabil Ibtehaz, Daisuke Kihara
ACC-UNet: A Completely Convolutional UNet Model for the 2020s. MICCAI (3) (2023)
Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu
Co-assistant Networks for Label Correction. MICCAI (3) (2023)
Tudor Dascalu, Bulat Ibragimov
Assignment Theory-Augmented Neural Network for Dental Arch Labeling. MICCAI (3) (2023)
Thijs P. Kuipers, Erik J. Bekkers
Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis. MICCAI (3) (2023)
Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gómez, Agisilaos Chartsias, Pierre-Marc Jodoin
Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. MICCAI (3) (2023)
Hyeongyu Kim, Yejee Shin, Dosik Hwang
DiMix: Disentangle-and-Mix Based Domain Generalizable Medical Image Segmentation. MICCAI (3) (2023)
Weizhi Nie, Chen Zhang, Dan Song, Yunpeng Bai, Keliang Xie, An-An Liu
Chest X-ray Image Classification: A Causal Perspective. MICCAI (3) (2023)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. MICCAI (3) (2023)
Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. MICCAI (3) (2023)
Zhihao Zhao, Junjie Yang, Shahrooz Faghihroohi, Kai Huang, Mathias Maier, Nassir Navab, M. Ali Nasseri
Label-Preserving Data Augmentation in Latent Space for Diabetic Retinopathy Recognition. MICCAI (3) (2023)
Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) (2023)
Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. MICCAI (3) (2023)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. MICCAI (3) (2023)
Kyungsu Lee, Haeyun Lee, Thiago Coutinho Cavalcanti, Sewoong Kim, Georges El Fakhri, Dong Hun Lee, Jonghye Woo, Jae Youn Hwang
Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis. MICCAI (3) (2023)
Kit Mills Bransby, Gregory G. Slabaugh, Christos Bourantas, Qianni Zhang
Joint Dense-Point Representation for Contour-Aware Graph Segmentation. MICCAI (3) (2023)
Shixuan Chen, Boxuan Cao, Yinda Du, Yaoduo Zhang, Ji He, Zhaoying Bian, Dong Zeng, Jianhua Ma
Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning. MICCAI (3) (2023)
Zhihao Li, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du
Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation. MICCAI (3) (2023)
Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobak Heydari, Orlando Simonetti, Rohan Dharmakumar, Subha Raman, Behzad Sharif
Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets. MICCAI (3) (2023)
Wenqi Zhou, Xiao Zhang, Dongdong Gu, Sheng Wang, Jiayu Huo, Rui Zhang, Zhihao Jiang, Feng Shi, Zhong Xue, Yiqiang Zhan, Xi Ouyang, Dinggang Shen
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. MICCAI (3) (2023)
Sarah M. Muller, Sundaresh Ram, Katie J. Bayfield, Julia H. Reuter, Sonja Gestewitz, Lifeng Yu, Mark Oliver Wielpütz, Hans-Ulrich Kauczor, Claus Peter Heussel, Terry E. Robinson, Brian J. Bartholmai, Charles R. Hatt, Paul D. Robinson, Craig J. Galbán, Oliver Weinheimer
Deep Learning-Based Air Trapping Quantification Using Paired Inspiratory-Expiratory Ultra-low Dose CT. MICCAI (3) (2023)
Zhiwen Yang, Yang Zhou, Hui Zhang, Bingzheng Wei, Yubo Fan, Yan Xu
DRMC: A Generalist Model with Dynamic Routing for Multi-center PET Image Synthesis. MICCAI (3) (2023)
Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. MICCAI (3) (2023)
Jun Wei, Yiwen Hu, Shuguang Cui, S. Kevin Zhou, Zhen Li
WeakPolyp: You only Look Bounding Box for Polyp Segmentation. MICCAI (3) (2023)
Jun Ma, Yuanzhi Zhu, Chenyu You, Bo Wang
Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement. MICCAI (3) (2023)
Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. MICCAI (3) (2023)
Hyun-Jic Oh, Won-Ki Jeong
DiffMix: Diffusion Model-Based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. MICCAI (3) (2023)
Yiqing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan L. Yuille, Cihang Xie, Yuyin Zhou
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. MICCAI (3) (2023)
Yushan Xie, Yuejia Yin, Qingli Li, Yan Wang
Deep Mutual Distillation for Semi-supervised Medical Image Segmentation. MICCAI (3) (2023)
Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy. MICCAI (3) (2023)
Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) (2023)
Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images. MICCAI (3) (2023)
Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications. MICCAI (3) (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) (2023)
Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan
Cross-Modulated Few-Shot Image Generation for Colorectal Tissue Classification. MICCAI (3) (2023)
Wei Fu, Yufei Chen, Wei Liu, Xiaodong Yue, Chao Ma
Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images. MICCAI (3) (2023)

volume 14222, 2023

Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III MICCAI (3) 14222 (2023)