MLMI@MICCAI

Keyphrases

Publications

2022

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. MLMI@MICCAI (2022)
Xi Jia, Joseph Bartlett, Tianyang Zhang, Wenqi Lu, Zhaowen Qiu, Jinming Duan
U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration? MLMI@MICCAI (2022)
Yuqi Fang, Jorge Daniel Oldan, Weili Lin, Travis Parke Schrank, Wendell Gray Yarbrough, Natalia Isaeva, Mingxia Liu
F-FDG PET/CT. MLMI@MICCAI (2022)
Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler
Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. MLMI@MICCAI (2022)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. MLMI@MICCAI (2022)
Shaoteng Zhang, Jianpeng Zhang, Yong Xia
TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation. MLMI@MICCAI (2022)
Ken C. L. Wong, Mehdi Moradi
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. MLMI@MICCAI (2022)
Yuqiao Yang, Ze Jin, Kenji Suzuki
Federated Tumor Segmentation with Patch-Wise Deep Learning Model. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Xin You, Yun Gu, Junjun He, Hui Sun, Jie Yang
A More Design-Flexible Medical Transformer for Volumetric Image Segmentation. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Hao Guan, Siyuan Liu, Weili Lin, Pew-Thian Yap, Mingxia Liu
Fast Image-Level MRI Harmonization via Spectrum Analysis. MLMI@MICCAI (2022)
Caner Özer, Arda Guler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz
Shifted Windows Transformers for Medical Image Quality Assessment. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Mojtaba Bahrami, Mahsa Ghorbani, Yousef Yeganeh, Nassir Navab
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis. MLMI@MICCAI (2022)
Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat
Driving Points Prediction for Abdominal Probabilistic Registration. MLMI@MICCAI (2022)
Qinji Yu, Kang Dang, Ziyu Zhou, Yongwei Chen, Xiaowei Ding
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo
CircleSnake: Instance Segmentation with Circle Representation. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Mohammadreza Negahdar
Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network. MLMI@MICCAI (2022)
Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang, Weili Lin, Gang Li
Spherical Transformer on Cortical Surfaces. MLMI@MICCAI (2022)
Yijie Yu, Lei Zhang, Xin Shu, Zizhou Wang, Chaoyue Chen, Jianguo Xu
A Coarse-to-Fine Network for Craniopharyngioma Segmentation. MLMI@MICCAI (2022)
Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof
Contextual Attention Network: Transformer Meets U-Net. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Qianqian Wang, Lishan Qiao, Mingxia Liu
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Soumya Gupta, Sharib Ali, Ziang Xu, Binod Bhattarai, Ben Turney, Jens Rittscher
UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Yongsong Huang, Qingzhong Wang, Shinichiro Omachi
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN. MLMI@MICCAI (2022)
Savinien Bonheur, Michael Pienn, Horst Olschewski, Horst Bischof, Martin Urschler
AMLP-Conv, a 3D Axial Long-range Interaction Multilayer Perceptron for CNNs. MLMI@MICCAI (2022)
Héctor Carrión, Mohammad Jafari, Hsin-Ya Yang, Roslyn Rivkah Isseroff, Marco Rolandi, Marcella Gomez, Narges Norouzi
HealNet - Self-supervised Acute Wound Heal-Stage Classification. MLMI@MICCAI (2022)
Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
Adaptive Unified Contrastive Learning for Imbalanced Classification. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Han Zhang, Tony C. W. Mok, Albert C. S. Chung
Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Govind Jeevan, S. J. Pawan, Jeny Rajan
Cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation. MLMI@MICCAI (2022)
Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. MLMI@MICCAI (2022)
Zheyuan Zhang, Ulas Bagci
Dynamic Linear Transformer for 3D Biomedical Image Segmentation. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Prabhat Lankireddy, Chitimireddy Sindhura, Subrahmanyam Gorthi
A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)
Di Meng, Eslam Mohammed, Edmond Boyer, Sergi Pujades
Vertebrae Localization, Segmentation and Identification Using a Graph Optimization and an Anatomic Consistency Cycle. MLMI@MICCAI (2022)
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. MLMI@MICCAI (2022)

volume 13583, 2022

Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings MLMI@MICCAI 13583 (2022)

volume 12966, 2021

Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings MLMI@MICCAI 12966 (2021)