A novel transcutaneous NFC uplink system symbiotic with inductive wireless power supply under ultra low coupling coefficient. - Chen Gong 003; Dake Liu; Zhidong Miao; Huahong Zhang (BioCAS, 2015)

Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices. - Huahong Zhang; Alessandra M. Valcarcel; Rohit Bakshi; Renxin Chu; Francesca Bagnato; Russell T. Shinohara; Kilian Hett; Ipek Oguz (MICCAI (3), 2019)

Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods. - Huahong Zhang; Ipek Oguz (BrainLes@MICCAI (1), 2020)

Generalizing MRI Subcortical Segmentation to Neurodegeneration. - Hao Li; Huahong Zhang; Dewei Hu; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (MLCN/RNO-AI@MICCAI, 2020)

Robust Multiple Sclerosis Lesion Inpainting with Edge Prior. - Huahong Zhang; Rohit Bakshi; Francesca Bagnato; Ipek Oguz (MLMI@MICCAI, 2020)

Anatomical context protects deep learning from adversarial perturbations in medical imaging. - Yi Li; Huahong Zhang; Camilo Bermudez; Yifan Chen; Bennett A. Landman; Yevgeniy Vorobeychik (Neurocomputing, 2020)

Unsupervised Cross-modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble. - Hao Li; Dewei Hu; Qibang Zhu; Kathleen E. Larson; Huahong Zhang; Ipek Oguz (BrainLes@MICCAI (2), 2021)

Longitudinal subcortical segmentation with deep learning. - Hao Li; Huahong Zhang; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (Image Processing, 2021)

MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs. - Hao Li; Huahong Zhang; Hans J. Johnson; Jeffrey D. Long; Jane S. Paulsen; Ipek Oguz (Image Processing, 2021)

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. - Han Liu; Yubo Fan; Hao Li; Jiacheng Wang 007; Dewei Hu; Can Cui; Ho Hin Lee; Huahong Zhang; Ipek Oguz (MICCAI (5), 2022)

Domain generalization for robust MS lesion segmentation. - Huahong Zhang; Hao Li; Kathleen E. Larson; Kilian Hett; Ipek Oguz (Image Processing, 2023)