activity
20192021
most citedHarvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

9 citations · 32 across the 10 of their papers we have counts for

collaborators

11 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

A Practical Framework for ROI Detection in Medical Images -- a case study for hip detection in anteroposterior pelvic radiographs

Feng-Yu Liu, Chih-Chi Chen, Shann-Ching Chen +1

Purpose Automated detection of region of interest (ROI) is a critical step for many medical image applications such as heart ROIs detection in perfusion MRI images, lung boundary d…

cs.CV20217 cited

A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation

Xinyu Zhang, Yirui Wang, Chi-Tung Cheng +5

Object detection methods are widely adopted for computer-aided diagnosis using medical images. Anomalous findings are usually treated as objects that are described by bounding boxe…

cs.CV20206 cited

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays

Yirui Wang, Kang Zheng, Chi-Tung Chang +7

Exploiting available medical records to train high performance computer-aided diagnosis (CAD) models via the semi-supervised learning (SSL) setting is emerging to tackle the prohib…

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…

cs.CV20201 cited

Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression

Jinzheng Cai, Ke Yan, Chi-Tung Cheng +4

Identifying, measuring and reporting lesions accurately and comprehensively from patient CT scans are important yet time-consuming procedures for physicians. Computer-aided lesion/…