activity
20192023
most citedDeep Learning in Medical Image Registration: A Review

666 citations · 720 across the 8 of their papers we have counts for

collaborators

8 papers

physics.med-ph2023

Hippocampus Substructure Segmentation Using Morphological Vision Transformer Learning

Yang Lei, Yifu Ding, Richard L. J. Qiu +6

Background: The hippocampus plays a crucial role in memory and cognition. Because of the associated toxicity from whole brain radiotherapy, more advanced treatment planning techniq…

eess.IV2022★ 4 cited

Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy

Huiqiao Xie, Yang Lei, Yabo Fu +6

CBCTs in image-guided radiotherapy provide crucial anatomy information for patient setup and plan evaluation. Longitudinal CBCT image registration could quantify the inter-fraction…

physics.med-ph2020★ 8 cited

Knowledge-based Radiation Treatment Planning: A Data-driven Method Survey

Shadab Momin, Yabo Fu, Yang Lei +5

This paper surveys the data-driven dose prediction approaches introduced for knowledge-based planning (KBP) in the last decade. These methods were classified into two major categor…

eess.IV2020★ 17 cited

Automatic segmentation of CT images for ventral body composition analysis

Yabo Fu, Joseph E. Ippolito, Daniel R. Ludwig +3

Purpose: Body composition is known to be associated with many diseases including diabetes, cancers and cardiovascular diseases. In this paper, we developed a fully automatic body t…

physics.med-ph2020★ 14 cited

Medical Imaging Synthesis using Deep Learning and its Clinical Applications: A Review

Tonghe Wang, Yang Lei, Yabo Fu +3

This paper reviewed the deep learning-based studies for medical imaging synthesis and its clinical application. Specifically, we summarized the recent developments of deep learning…

eess.IV2020★ 5 cited

Deep Learning in Multi-organ Segmentation

Yang Lei, Yabo Fu, Tonghe Wang +4

This paper presents a review of deep learning (DL) in multi-organ segmentation. We summarized the latest DL-based methods for medical image segmentation and applications. These met…

eess.IV2020★ 6 cited

Machine Learning in Quantitative PET Imaging

Tonghe Wang, Yang Lei, Yabo Fu +3

This paper reviewed the machine learning-based studies for quantitative positron emission tomography (PET). Specifically, we summarized the recent developments of machine learning-…

eess.IV2019★ 666 cited

Deep Learning in Medical Image Registration: A Review

Yabo Fu, Yang Lei, Tonghe Wang +3

This paper presents a review of deep learning (DL) based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods…