Julius Chapiro

15 papers Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep learning based volumetric analysis of infrarenal abdominal aortic aneurysms characterized on CTA. npj Digit. Medicine David Weiss, Thomas Hager, MingDe Lin, Durga Sritharan, Khaled Bousabarah, Daniel Renninghoff, Wolfgang Holler, Kathryn Simmons, Johannes Haubold, Sarah Loh, Uwe Fischer, Julius Chapiro, Cornelius Deuschl, Mariam Aboian, Edouard Aboian, Sanjay Aneja
2021	J	`jnl`	Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration. CoRR Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan
2021	J	`jnl`	Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. Medical Image Anal. Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan
2020	—	`conf`	Automatic Multimodal Registration via Intraprocedural Cone-Beam CT Segmentation using MRI Distance Maps. ISBI Zachary Augenfeld, Ming De Lin, Julius Chapiro, James S. Duncan
2020	—	`conf`	Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan
2020	J	`jnl`	Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. IEEE Trans. Medical Imaging Fan Zhang, Nicha C. Dvornek, Junlin Yang, Julius Chapiro, Jim Duncan
2020	J	`jnl`	Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation. CoRR Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan
2020	—	`conf`	Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation. iMIMIC/MIL3ID/LABELS@MICCAI Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan
2019	—	`conf`	Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
2019	J	`jnl`	Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. CoRR Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
2019	J	`jnl`	Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. CoRR Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, Aaron Abajian, James S. Duncan
2019	—	`conf`	Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. MICCAI (2) Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan
2019	J	`jnl`	Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. CoRR Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan
2018	—	`conf`	Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework. Patch-MI@MICCAI Fan Zhang, Junlin Yang, Nariman Nezami, Fabian Laage-gaupp, Julius Chapiro, Ming De Lin, James S. Duncan
2017	—	`conf`	Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation. MICCAI (3) John Treilhard, Susanne Smolka, Lawrence H. Staib, Julius Chapiro, Ming De Lin, Georgy Shakirin, James S. Duncan