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ORCID26th MICCAI 2023: Vancouver, BC, Canada - Part VIII
- Hayit Greenspan, Anant Madabhushi
, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14227, Springer 2023, ISBN 978-3-031-43992-6
Clinical Applications - Neuroimaging
- Yicheng Wu, Zhonghua Wu, Hengcan Shi, Bjoern Picker, Winston Chong, Jianfei Cai:
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation. 3-13 - Wei Peng, Ehsan Adeli, Tomas M. Bosschieter, Sanghyun Park, Qingyu Zhao, Kilian M. Pohl:
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model. 14-24 - Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen:
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. 25-34 - Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias:
Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies. 35-45 - Xinyu Nie, Yonggang Shi:
Flow-Based Geometric Interpolation of Fiber Orientation Distribution Functions. 46-55 - Dongdong Chen, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Qian Wang, Lichi Zhang:
Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis. 56-66 - Dongdong Chen, Lichi Zhang:
FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis. 67-76 - Duilio Deangeli, Emmanuel Iarussi, Juan Pablo Princich, Mariana Bendersky, Ignacio Larrabide, José Ignacio Orlando:
Learning Normal Asymmetry Representations for Homologous Brain Structures. 77-87 - Dayang Wang, Srivathsa Pasumarthi, Greg Zaharchuk, Ryan Chamberlain:
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model. 88-98 - Yuxiao Liu, Mianxin Liu, Yuanwang Zhang, Dinggang Shen:
Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner. 99-108 - Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu:
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. 109-119 - Yilin Leng, Wenju Cui, Chen Bai, Zirui Chen, Yanyan Zheng, Jian Zheng:
Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN Using T1-MRI. 120-130 - Khoi Minh Huynh, Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments. 131-141 - Tianshu Zheng, Ruicheng Ba, Xiaoli Wang, Chuyang Ye, Dan Wu:
AUA-dE: An Adaptive Uncertainty Guided Attention for Diffusion MRI Models Estimation. 142-151 - Ye Wu, Xiaoming Liu, Xinyuan Zhang, Khoi Minh Huynh, Sahar Ahmad, Pew-Thian Yap:
Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture. 152-162 - Shu Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Huawen Hu, Haiyang Zhang:
Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark. 163-172 - Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert, Benedikt Wiestler:
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. 173-183 - Deeksha M. Shama, Jiasen Jing, Archana Venkataraman:
DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data. 184-194 - Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert:
Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning. 195-204 - Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang:
BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. 205-214 - Xiang Tang, Xiaocai Zhang, Mengting Liu, Jianjia Zhang:
Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis. 215-225 - Chinmay Prabhakar, Hongwei Bran Li, Johannes C. Paetzold, Timo Loehr, Chen Niu, Mark Mühlau, Daniel Rueckert, Benedikt Wiestler, Bjoern H. Menze:
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images. 226-236 - Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning. 237-246 - Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias:
Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI. 247-257 - Xinzi He, Alan Q. Wang, Mert R. Sabuncu:
Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing. 258-267 - Hoyt Patrick Taylor, Pew-Thian Yap:
Dynamic Functional Connectome Harmonics. 268-276 - Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen:
Wasserstein Distance-Preserving Vector Space of Persistent Homology. 277-286 - Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, Rex Ying, Xiaoxiao Li:
Community-Aware Transformer for Autism Prediction in fMRI Connectome. 287-297 - Xingcan Hu, Li Xiao, Xiaoyan Sun, Feng Wu:
Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping. 298-307 - Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang:
Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. 308-317 - Anne-Marie Rickmann, Fabian Bongratz, Christian Wachinger:
Vertex Correspondence in Cortical Surface Reconstruction. 318-327 - Ruiyan Fang, Yu Li, Xin Zhang, Shengxian Chen, Jiale Cheng, Xiangmin Xu, Jieling Wu, Weili Lin, Li Wang, Zhengwang Wu, Gang Li:
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis. 328-337 - Shuting Liu, Baochang Zhang, Rong Fang, Daniel Rueckert, Veronika A. Zimmer:
Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases. 338-347 - Xiang Gao, Xin Zhang, Lu Zhang, Xiangmin Xu, Dajiang Zhu:
Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN. 348-357 - Md Asadullah Turja, Martin Styner, Guorong Wu:
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. 358-368 - Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li:
Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. 369-379 - Xiaoyang Chen, Junjie Zhao, Siyuan Liu, Sahar Ahmad, Pew-Thian Yap:
SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI. 380-388 - Chuhang Zheng, Wei Shao, Daoqiang Zhang, Qi Zhu:
Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition. 389-398 - Thomas F. Kirk, Martin S. Craig, Michael A. Chappell:
Unified Surface and Volumetric Inference on Functional Imaging Data. 399-408 - Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. 409-419 - Hannah Spitzer, Mathilde Ripart, Abdulah Fawaz, Logan Z. J. Williams, Emma C. Robinson, Juan Eugenio Iglesias, Sophie Adler, Konrad Wagstyl:
Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach. 420-428 - Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li:
Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. 429-438 - Lipeng Ning:
Maximum-Entropy Estimation of Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI. 439-448 - Junaid R. Rajput, Tim A. Möhle, Moritz S. Fabian, Angelika Mennecke, Jochen A. Sembill, Joji B. Kuramatsu, Manuel Schmidt, Arnd Dörfler, Andreas Maier, Moritz Zaiss:
Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T. 449-458 - Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander:
A Coupled-Mechanisms Modelling Framework for Neurodegeneration. 459-469 - Weiguo Cao, Benjamin Howe, Nicholas Rhodes, Sumana Ramanathan, Panagiotis Korfiatis, Kimberly Amrami, Robert Spinner, Timothy Kline:
A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging. 470-480
Microscopy
- Kazuya Nishimura, Ami Katanaya, Shinichiro Chuma, Ryoma Bise:
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping. 483-492 - Hengxu Zhang, Pengpeng Liang, Zhiyong Sun, Bo Song, Erkang Cheng:
CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention. 493-502 - Yudong Zhang, Ge Yang:
A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images. 503-513 - Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng:
B-Cos Aligned Transformers Learn Human-Interpretable Features. 514-524 - Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie:
PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents. 525-536 - Benjamin Gallusser, Max Stieber, Martin Weigert:
Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction. 537-547 - Mingyuan Liu, Lu Xu, Jicong Zhang:
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis. 548-558 - Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang:
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps. 559-568 - Junjia Huang, Haofeng Li, Weijun Sun, Xiang Wan, Guanbin Li:
Prompt-Based Grouping Transformer for Nucleus Detection and Classification. 569-579 - Wei Xiong, Kaiwei Yu, Liang Yang, Baiying Lei:
PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-Branch Network. 580-591 - Xinyi Yu, Guanbin Li, Wei Lou, Siqi Liu, Xiang Wan, Yan Chen, Haofeng Li:
Diffusion-Based Data Augmentation for Nuclei Image Segmentation. 592-602 - Zhu Chen, Ina Laube, Johannes Stegmaier:
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos. 603-612 - Omkar Thawakar, Rao Muhammad Anwer, Jorma Laaksonen, Orly Reiner, Mubarak Shah, Fahad Shahbaz Khan:
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers. 613-623 - Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning. 624-634 - Yi Liu, Su Peng, Jeffrey Caplan, Chandra Kambhamettu:
Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network. 635-645 - Yu Liu, Gesine Müller, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng:
BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. 646-655 - Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng:
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. 656-665 - Mariia Sidulova, Xudong Sun, Alexej Gossmann:
Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set. 666-675 - Nahal Mirzaie, Mohammad V. Sanian, Mohammad H. Rohban:
Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery. 676-685
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