… Dou, Q., Chen, H., Yu, L., Qin, J., Heng, PA Multi-level contextual 3d CNNs for false positive
reduction in pulmonary nodule detection. IEEE Transactions on Biomedical Engineering, http:…

Colorectal adenocarcinoma originating in intestinal glandular structures is the most common
form of colon cancer. In clinical practice, the morphology of intestinal glands, including …

Importance Application of deep learning algorithms to whole-slide pathology images can
potentially improve diagnostic accuracy and efficiency. Objective Assess the performance of …

… Heng are with the Department of Computer Science and Engineering, The Chinese University
… Heng, “VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR …

… Heng are with the Department of Computer Science and Engineering, The Chinese … Heng,
“Class-balanced deep neural network for automatic ventricular structure segmentation,” in …

Automated melanoma recognition in dermoscopy images is a very challenging task due to
the low contrast of skin lesions, the huge intraclass variation of melanomas, the high degree …

Automatic detection of pulmonary nodules in thoracic computed tomography (CT) scans has
been an active area of research for the last two decades. However, there have only been …

… A probabilistic atlas (PA) is an anatomical atlas with parameters that are learned from a …
of the PA and how the PA is incorporated into the segmentation task. Furthermore, PA can …

… 3 [54] Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, and Pheng-Ann Heng. Learning
from extrinsic and intrinsic supervisions for domain generalization. In European Conference on …

… Shi, VC Mok, and PA Heng, “Automatic detection of cerebral microbleeds via deep learning
… Heng, “Automatic fetal ultrasound standard plane detection using knowledge transferred …