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20192023
most citedDeep Learning in Medical Image Registration: A Review

666 citations · 972 across the 30 of their papers we have counts for

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6 papers · 1 filter

eess.IV2023★ 1 cited

Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI

Yuheng Li, Jacob Wynne, Jing Wang +8

Biparametric magnetic resonance imaging (bpMRI) has demonstrated promising results in prostate cancer (PCa) detection using convolutional neural networks (CNNs). Recently, transfor…

eess.IV2023★ 18 cited

Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis

Shaoyan Pan, Chih-Wei Chang, Junbo Peng +7

This study aims to develop a novel Cycle-guided Denoising Diffusion Probability Model (CG-DDPM) for cross-modality MRI synthesis. The CG-DDPM deploys two DDPMs that condition each…

eess.IV2023★ 1 cited

Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation

Shaoyan Pan, Shao-Yuan Lo, Min Huang +5

In this work, we propose an adversarial attack-based data augmentation method to improve the deep-learning-based segmentation algorithm for the delineation of Organs-At-Risk (OAR)…

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…

eess.IV2021★ 1 cited

Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review

Mingquan Lin, Jacob Wynne, Yang Lei +4

Medical imaging is widely used in cancer diagnosis and treatment, and artificial intelligence (AI) has achieved tremendous success in various tasks of medical image analysis. This…

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…