104 citations · 261 across the 17 of their papers we have counts for
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eess.IV2019
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation
Zhou He, Siqi Bao, Albert Chung
Recent advancements in medical image segmentation techniques have achieved compelling results. However, most of the widely used approaches do not take into account any prior knowle…
cs.CV2019★ 23 cited
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning
Yongxiang Huang, Albert C. S. Chung
Despite deep convolutional neural networks boost the performance of image classification and segmentation in digital pathology analysis, they are usually weak in interpretability f…
cs.CV2019★ 1 cited
A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation
Rongzhao Zhang, Albert C. S. Chung
When introducing advanced image computing algorithms, e.g., whole-heart segmentation, into clinical practice, a common suspicion is how reliable the automatically computed results…