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ORCID13th MLMI@MICCAI 2022: Singapore
- Chunfeng Lian, Xiaohuan Cao, Islem Rekik
, Xuanang Xu, Zhiming Cui:
Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13583, Springer 2022, ISBN 978-3-031-21013-6 - Qianqian Wang, Lishan Qiao, Mingxia Liu:
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. 1-10 - Junghwan Lee, Tingyi Wanyan, Qingyu Chen, Tiarnan D. L. Keenan, Benjamin S. Glicksberg, Emily Y. Chew, Zhiyong Lu, Fei Wang, Yifan Peng:
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. 11-20 - Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi:
Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. 21-31 - Linkai Peng, Li Lin, Pujin Cheng, Huaqing He, Xiaoying Tang:
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation. 32-42 - Yongsong Huang, Qingzhong Wang, Shinichiro Omachi:
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN. 43-52 - Ken C. L. Wong, Mehdi Moradi:
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. 53-61 - Xin You, Yun Gu, Junjun He, Hui Sun, Jie Yang:
A More Design-Flexible Medical Transformer for Volumetric Image Segmentation. 62-71 - Han Zhang, Tony C. W. Mok, Albert C. S. Chung:
Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System. 72-80 - Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang:
Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping. 81-90 - Yijie Yu, Lei Zhang, Xin Shu, Zizhou Wang, Chaoyue Chen, Jianguo Xu:
A Coarse-to-Fine Network for Craniopharyngioma Segmentation. 91-100 - Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher:
Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring. 101-110 - Xi Chen, Jiahuan Lv, Dehua Feng, Xuanqin Mou, Ling Bai, Shu Zhang, Zhiguo Zhou:
AutoMO-Mixer: An Automated Multi-objective Mixer Model for Balanced, Safe and Robust Prediction in Medicine. 111-120 - Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. 121-130 - Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang:
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. 131-139 - Govind Jeevan, S. J. Pawan, Jeny Rajan:
Cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation. 140-150 - Xi Jia, Joseph Bartlett, Tianyang Zhang, Wenqi Lu, Zhaowen Qiu, Jinming Duan:
U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration? 151-160 - Soumya Gupta, Sharib Ali, Ziang Xu, Binod Bhattarai, Ben Turney, Jens Rittscher:
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation. 161-170 - Zheyuan Zhang, Ulas Bagci:
Dynamic Linear Transformer for 3D Biomedical Image Segmentation. 171-180 - Mohammadreza Negahdar:
Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network. 181-190 - Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang:
A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. 191-200 - Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu:
Fast Image-Level MRI Harmonization via Spectrum Analysis. 201-209 - Peter Ho Hin Yuen, Xiaohong Wang, Zhiping Lin, Nikki Ka Wai Chow, Jun Cheng, Cher Heng Tan, Weimin Huang:
CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification. 210-219 - Sahar Ahmad, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang, Gang Li, Di Wu, Pew-Thian Yap:
Harmonization of Multi-site Cortical Data Across the Human Lifespan. 220-229 - Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen:
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. 230-238 - Qinji Yu, Kang Dang, Ziyu Zhou, Yongwei Chen, Xiaowei Ding:
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning. 239-248 - Quoc Dang Vu, Robert Jewsbury, Simon Graham, Mostafa Jahanifar, Shan-E-Ahmed Raza, Fayyaz Minhas, Abhir Bhalerao, Nasir M. Rajpoot:
Nuclear Segmentation and Classification: On Color and Compression Generalization. 249-258 - Lintao Zhang, Minhui Yu, Lihong Wang, David C. Steffens, Rong Wu, Guy G. Potter, Mingxia Liu:
Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI. 259-268 - Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li:
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. 269-278 - Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu:
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. 279-287 - Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Driving Points Prediction for Abdominal Probabilistic Registration. 288-297 - Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
CircleSnake: Instance Segmentation with Circle Representation. 298-306 - Di Meng, Eslam Mohammed, Edmond Boyer, Sergi Pujades:
Vertebrae Localization, Segmentation and Identification Using a Graph Optimization and an Anatomic Consistency Cycle. 307-317 - Milosz Gajowczyk, Patryk Rygiel, Piotr Grodek, Adrian Korbecki, Michal Sobanski, Przemyslaw Podgórski, Tomasz K. Konopczynski:
Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT. 318-327 - Savinien Bonheur, Michael Pienn, Horst Olschewski, Horst Bischof, Martin Urschler:
AMLP-Conv, a 3D Axial Long-range Interaction Multilayer Perceptron for CNNs. 328-337 - Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. 338-347 - Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive Unified Contrastive Learning for Imbalanced Classification. 348-357 - Yuqi Fang, Jorge Daniel Oldan, Weili Lin, Travis Parke Schrank, Wendell Gray Yarbrough, Natalia Isaeva, Mingxia Liu:
Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on 18F-FDG PET/CT. 358-366 - Shaoteng Zhang, Jianpeng Zhang, Yong Xia:
TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation. 367-376 - Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof:
Contextual Attention Network: Transformer Meets U-Net. 377-386 - Mojtaba Bahrami, Mahsa Ghorbani, Yousef Yeganeh, Nassir Navab:
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis. 387-396 - Prabhat Lankireddy, Chitimireddy Sindhura, Subrahmanyam Gorthi:
A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages. 397-405 - Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang, Weili Lin, Gang Li:
Spherical Transformer on Cortical Surfaces. 406-415 - Ana-Teodora Radutoiu, François Patou, Ján Margeta, Rasmus R. Paulsen, Paula López Diez:
Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning. 416-424 - Caner Özer, Arda Güler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz:
Shifted Windows Transformers for Medical Image Quality Assessment. 425-435 - Mingquan Lin, Lei Liu, Mae Gorden, Michael Kass, Sarah Van Tassel, Fei Wang, Yifan Peng:
Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction. 436-445 - Héctor Carrión, Mohammad Jafari, Hsin-Ya Yang, Roslyn Rivkah Isseroff, Marco Rolandi, Marcella Gomez, Narges Norouzi:
HealNet - Self-supervised Acute Wound Heal-Stage Classification. 446-455 - Yuqiao Yang, Ze Jin, Kenji Suzuki:
Federated Tumor Segmentation with Patch-Wise Deep Learning Model. 456-465 - Yuyan Ge, Zhenyu Tang, Lei Ma, Caiwen Jiang, Feng Shi, Shaoyi Du, Dinggang Shen:
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation. 466-475
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