- Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen:
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) 2023: 144-154 - Thai Ngoc Toan Truong, Huy T. Nguyen, Thinh B. Lam, Duy V. M. Nguyen, Phuc H. Nguyen:
Delving into Ipsilateral Mammogram Assessment Under Multi-view Network. MLMI@MICCAI (2) 2023: 367-376 - Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc, Livio Finos, Livio Corain, Enrico Grisan:
NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images. MLMI@MICCAI (2) 2023: 457-466 - Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Group Distributionally Robust Knowledge Distillation. MLMI@MICCAI (2) 2023: 234-242 - Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas:
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment. MLMI@MICCAI (2) 2023: 253-263 - Linmin Wang, Qianqian Wang, Xiaochuan Wang, Yunling Ma, Lishan Qiao, Mingxia Liu:
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis. MLMI@MICCAI (2) 2023: 407-416 - Julia Werner, Christoph Gerum, Moritz Reiber, Jörg Nick, Oliver Bringmann:
Precise Localization Within the GI Tract by Combining Classification of CNNs and Time-Series Analysis of HMMs. MLMI@MICCAI (2) 2023: 174-183 - Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue:
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) 2023: 74-83 - Erkun Yang, Cheng Deng, Mingxia Liu:
Deep Bayesian Quantization for Supervised Neuroimage Search. MLMI@MICCAI (2) 2023: 396-406 - Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc Bruno, Rajesh Keswani, Frank Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci:
Radiomics Boosts Deep Learning Model for IPMN Classification. MLMI@MICCAI (2) 2023: 134-143 - Mariam Zabihi, Chayanin Tangwiriyasakul, Silvia Ingala, Luigi Lorenzini, Robin Camarasa, Frederik Barkhof, Marleen de Bruijne, M. Jorge Cardoso, Carole H. Sudre:
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. MLMI@MICCAI (2) 2023: 325-334 - Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image. MLMI@MICCAI (2) 2023: 22-32 - Fuheng Zhang, Sirui Li, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data. MLMI@MICCAI (2) 2023: 314-324 - Junhao Zhang, Xiaochuan Wang, Qianqian Wang, Lishan Qiao, Mingxia Liu:
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI. MLMI@MICCAI (2) 2023: 43-52 - Lei Zhao, Lei Ma, Zhiming Cui, Jie Zheng, Zhong Xue, Feng Shi, Dinggang Shen:
FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation. MLMI@MICCAI (2) 2023: 104-113 - Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen:
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. MLMI@MICCAI (2) 2023: 84-93 - Kaizhong Zheng, Bin Ma, Badong Chen:
DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis. MLMI@MICCAI (2) 2023: 164-173 - Ziyu Zhou, Wenyuan Shen, Chang Liu:
Consisaug: A Consistency-Based Augmentation for Polyp Detection in Endoscopy Image Analysis. MLMI@MICCAI (2) 2023: 64-73