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Publication search results
found 66 matches
- 2023
- Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, Rex Ying, Xiaoxiao Li:
Community-Aware Transformer for Autism Prediction in fMRI Connectome. MICCAI (8) 2023: 287-297 - Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias, Alexander Hammers, Daniel Rueckert:
Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning. MICCAI (8) 2023: 195-204 - 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. MICCAI (8) 2023: 470-480 - Zhu Chen, Ina Laube, Johannes Stegmaier:
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos. MICCAI (8) 2023: 603-612 - 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. MICCAI (8) 2023: 56-66 - Dongdong Chen, Lichi Zhang:
FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis. MICCAI (8) 2023: 67-76 - 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. MICCAI (8) 2023: 380-388 - Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang:
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps. MICCAI (8) 2023: 559-568 - Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng:
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. MICCAI (8) 2023: 656-665 - Duilio Deangeli, Emmanuel Iarussi, Juan Pablo Princich, Mariana Bendersky, Ignacio Larrabide, José Ignacio Orlando:
Learning Normal Asymmetry Representations for Homologous Brain Structures. MICCAI (8) 2023: 77-87 - 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. MICCAI (8) 2023: 328-337 - Benjamin Gallusser, Max Stieber, Martin Weigert:
Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction. MICCAI (8) 2023: 537-547 - Xiang Gao, Xin Zhang, Lu Zhang, Xiangmin Xu, Dajiang Zhu:
Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN. MICCAI (8) 2023: 348-357 - 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. MICCAI (8) 2023: 35-45 - Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander:
A Coupled-Mechanisms Modelling Framework for Neurodegeneration. MICCAI (8) 2023: 459-469 - Xinzi He, Alan Q. Wang, Mert R. Sabuncu:
Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing. MICCAI (8) 2023: 258-267 - Xingcan Hu, Li Xiao, Xiaoyan Sun, Feng Wu:
Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping. MICCAI (8) 2023: 298-307 - Junjia Huang, Haofeng Li, Weijun Sun, Xiang Wan, Guanbin Li:
Prompt-Based Grouping Transformer for Nucleus Detection and Classification. MICCAI (8) 2023: 569-579 - Khoi Minh Huynh, Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments. MICCAI (8) 2023: 131-141 - Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang:
Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. MICCAI (8) 2023: 308-317 - Thomas F. Kirk, Martin S. Craig, Michael A. Chappell:
Unified Surface and Volumetric Inference on Functional Imaging Data. MICCAI (8) 2023: 399-408 - 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. MICCAI (8) 2023: 120-130 - Weixiong Lin, Ziheng Zhao, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Yanfeng Wang, Weidi Xie:
PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents. MICCAI (8) 2023: 525-536 - 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. MICCAI (8) 2023: 99-108 - 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. MICCAI (8) 2023: 646-655 - Yi Liu, Su Peng, Jeffrey Caplan, Chandra Kambhamettu:
Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network. MICCAI (8) 2023: 635-645 - Mingyuan Liu, Lu Xu, Jicong Zhang:
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis. MICCAI (8) 2023: 548-558 - 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. MICCAI (8) 2023: 338-347 - 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. MICCAI (8) 2023: 173-183 - Nahal Mirzaie, Mohammad V. Sanian, Mohammad H. Rohban:
Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery. MICCAI (8) 2023: 676-685
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