Xiaoyu Bai

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach

Adam P. Harrison, Le Lu, Yuankai Huo, 2021, PRIME@MICCAI.

An End-to-End Framework For Universal Lesion Detection With Missing Annotations

Yong Xia, Xiaoyu Bai, 2022, 2022 16th IEEE International Conference on Signal Processing (ICSP).

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach pdf

Adam P. Harrison, Jing Xiao, Jinzheng Cai, 2020, ArXiv.

SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation

Jingren Zhou, Le Lu, K. Yan, 2023, MICCAI.

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis

K. Yan, Heng Guo, Minfeng Xu, 2023, 2302.05615.

A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography

Yong Yin, Yong Xia, Xiaoyu Bai, 2021, Biomed. Signal Process. Control..

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis

K. Yan, Heng Guo, Minfeng Xu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Jingren Zhou, Le Lu, Jiawen Yao, 2023, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training

Yong Xia, Changyang Li, Xiaoyu Bai, 2023, ArXiv.