421 citations · 499 across the 12 of their papers we have counts for
6 papers · 2 filters
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
Pengbo Liu, Hu Han, Yuanqi Du +9
Purpose: Pelvic bone segmentation in CT has always been an essential step in clinical diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone segme…
Bounding Maps for Universal Lesion Detection
Han Li, Hu Han, S. Kevin Zhou
Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis systems. Many detection approaches achieve excellent results for ULD usi…
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
Xuesong Niu, Zitong Yu, Hu Han +3
Remote physiological measurements, e.g., remote photoplethysmography (rPPG) based heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are playin…
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
Qingsong Yao, Zecheng He, Hu Han +1
Recent methods in multiple landmark detection based on deep convolutional neural networks (CNNs) reach high accuracy and improve traditional clinical workflow. However, the vulnera…
Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning
Guoqing Wang, Hu Han, Shiguang Shan +1
Face presentation attack detection (PAD) has been an urgent problem to be solved in the face recognition systems. Conventional approaches usually assume the testing and training ar…
The 1st Challenge on Remote Physiological Signal Sensing (RePSS)
Xiaobai Li, Hu Han, Hao Lu +5
Remote measurement of physiological signals from videos is an emerging topic. The topic draws great interests, but the lack of publicly available benchmark databases and a fair val…