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

no code implementations • 25 Mar 2021 • Mingquan Lin, Jacob Wynne, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang

We summarize the latest AI-based methods for tumor subregion analysis and their applications.

Synthetic MRI-aided Head-and-Neck Organs-at-Risk Auto-Delineation for CBCT-guided Adaptive Radiotherapy

no code implementations • 8 Oct 2020 • Xianjin Dai, Yang Lei, Tonghe Wang, Anees H. Dhabaan, Mark McDonald, Jonathan J. Beitler, Walter J. Curran, Jun Zhou, Tian Liu, Xiaofeng Yang

The proposed method was evaluated on a cohort of 65 HN cancer patients.

Medical Physics Image and Video Processing

Deep Learning in Multi-organ Segmentation

no code implementations • 28 Jan 2020 • Yang Lei, Yabo Fu, Tonghe Wang, Richard L. J. Qiu, Walter J. Curran, Tian Liu, Xiaofeng Yang

This paper presents a review of deep learning (DL) in multi-organ segmentation.

Image Segmentation Medical Image Segmentation +3

Machine Learning in Quantitative PET Imaging

no code implementations • 18 Jan 2020 • Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Xiaofeng Yang

This paper reviewed the machine learning-based studies for quantitative positron emission tomography (PET).

BIG-bench Machine Learning

Deep Learning in Medical Image Registration: A Review

no code implementations • 27 Dec 2019 • Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang

Lastly, we analyzed the statistics of all the cited works from various aspects, revealing the popularity and future trend of development in medical image registration using deep learning.

Image Registration Medical Image Registration