718 citations · 1.8k across the 28 of their papers we have counts for
32 papers · 1 filter
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting
Benjamin Hou, Georgios Kaissis, Ronald Summers +1
Chest radiographs are one of the most common diagnostic modalities in clinical routine. It can be done cheaply, requires minimal equipment, and the image can be diagnosed by every…
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos +6
Since its renaissance, deep learning has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging applications, thereby propell…
Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection
Yingying Zhu, Daniel C. Elton, Sungwon Lee +2
Calcified plaque in the aorta and pelvic arteries is associated with coronary artery calcification and is a strong predictor of heart attack. Current calcified plaque detection mod…
Weakly Supervised Lesion Co-segmentation on CT Scans
Vatsal Agarwal, Youbao Tang, Jing Xiao +1
Lesion segmentation in medical imaging serves as an effective tool for assessing tumor sizes and monitoring changes in growth. However, not only is manual lesion segmentation time-…
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation
Vatsal Agarwal, Youbao Tang, Jing Xiao +1
Lesion segmentation on computed tomography (CT) scans is an important step for precisely monitoring changes in lesion/tumor growth. This task, however, is very challenging since ma…
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
Ke Yan, Youbao Tang, Yifan Peng +4
When reading medical images such as a computed tomography (CT) scan, radiologists generally search across the image to find lesions, characterize and measure them, and then describ…