output
20202024
most citedDeep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification

16 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2023

Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses

Shadab Ahamed, Yixi Xu, Sara Kurkowska +12

This study addresses critical gaps in automated lymphoma segmentation from PET/CT images, focusing on issues often overlooked in existing literature. While deep learning has been a…

cs.CV2020★ 13 cited

CycleMorph: Cycle Consistent Unsupervised Deformable Image Registration

Boah Kim, Dong Hwan Kim, Seong Ho Park +3

Image registration is a fundamental task in medical image analysis. Recently, deep learning based image registration methods have been extensively investigated due to their excelle…