Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation. - John Treilhard; Susanne Smolka; Lawrence H. Staib; Julius Chapiro; Ming De Lin; Georgy Shakirin; James S. Duncan (MICCAI (3), 2017)

Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework. - Fan Zhang 009; Junlin Yang; Nariman Nezami; Fabian Laage-gaupp; Julius Chapiro; Ming De Lin; James S. Duncan (Patch-MI@MICCAI, 2018)

Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. - Junlin Yang; Nicha C. Dvornek; Fan Zhang 009; Juntang Zhuang; Julius Chapiro; Ming De Lin; James S. Duncan (ICCV Workshops, 2019)

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. - Junlin Yang; Nicha C. Dvornek; Fan Zhang 009; Julius Chapiro; Ming De Lin; James S. Duncan (MICCAI (2), 2019)

Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. - Junlin Yang; Nicha C. Dvornek; Fan Zhang 009; Julius Chapiro; Ming De Lin; Aaron Abajian; James S. Duncan (CoRR, 2019)

Automatic Multimodal Registration via Intraprocedural Cone-Beam CT Segmentation using MRI Distance Maps. - Zachary Augenfeld; Ming De Lin; Julius Chapiro; James S. Duncan (ISBI, 2020)

Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. - Junlin Yang; Xiaoxiao Li; Daniel H. Pak; Nicha C. Dvornek; Julius Chapiro; Ming De Lin; James S. Duncan (DART/DCL@MICCAI, 2020)

Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation. - Chenyu You; Junlin Yang; Julius Chapiro; James S. Duncan (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. - Fan Zhang 009; Nicha C. Dvornek; Junlin Yang; Julius Chapiro; Jim Duncan 001 (IEEE Trans. Medical Imaging, 2020)

Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. - Bo Zhou 009; Zachary Augenfeld; Julius Chapiro; S. Kevin Zhou; Chi Liu 001; James S. Duncan (Medical Image Anal., 2021)