96 citations · 127 across the 2 of their papers we have counts for
5 papers
Capabilities of Gemini Models in Medicine
Khaled Saab, Tao Tu, Wei-Hung Weng +64
Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of…
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation
Shuhang Wang, Szu-Yeu Hu, Eugene Cheah +10
This paper proposes a novel U-Net variant using stacked dilated convolutions for medical image segmentation (SDU-Net). SDU-Net adopts the architecture of vanilla U-Net with modific…
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng +6
Modern deep learning algorithms geared towards clinical adaption rely on a significant amount of high fidelity labeled data. Low-resource settings pose challenges like acquiring hi…
Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery
Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu +4
Stereotactic radiosurgery (SRS), which delivers high doses of irradiation in a single or few shots to small targets, has been a standard of care for brain metastases. While very ef…
Deep feature transfer between localization and segmentation tasks
Szu-Yeu Hu, Andrew Beers, Ken Chang +8
In this paper, we propose a new pre-training scheme for U-net based image segmentation. We first train the encoding arm as a localization network to predict the center of the targe…