activity
20172021
most citedUncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

280 citations · 472 across the 14 of their papers we have counts for

collaborators

23 papers

cs.CV2021

A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening

Chi-Tung Cheng, Jinzheng Cai, Wei Teng +11

Hepatocellular carcinoma (HCC) can be potentially discovered from abdominal computed tomography (CT) studies under varied clinical scenarios, e.g., fully dynamic contrast enhanced…

eess.IV2021

Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Youbao Tang, Ke Yan, Jinzheng Cai +6

Measuring lesion size is an important step to assess tumor growth and monitor disease progression and therapy response in oncology image analysis. Although it is tedious and highly…

eess.IV2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss

Youbao Tang, Jinzheng Cai, Ke Yan +6

Accurately segmenting a variety of clinically significant lesions from whole body computed tomography (CT) scans is a critical task on precision oncology imaging, denoted as univer…

cs.CV20203 cited

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach

Bolin Lai, Yuhsuan Wu, Xiaoyu Bai +10

Using radiological scans to identify liver tumors is crucial for proper patient treatment. This is highly challenging, as top radiologists only achieve F1 scores of roughly 80% (he…

cs.CV20205 cited

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies

Jinzheng Cai, Youbao Tang, Ke Yan +4

Monitoring treatment response in longitudinal studies plays an important role in clinical practice. Accurately identifying lesions across serial imaging follow-up is the core to th…

cs.CV2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Ashwin Raju, Zhanghexuan Ji, Chi Tung Cheng +6

Mask-based annotation of medical images, especially for 3D data, is a bottleneck in developing reliable machine learning models. Using minimal-labor user interactions (UIs) to guid…