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Gongbo Liang

Showing results (1-10 of 20) with videos related to

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IEEE Pulse|May 15, 2026
Uncertainty-Aware Vision-Language Learning Improves Chest X-Ray RetrievalAhmad Elallaf, Yuktha Priya Masupalli, Gongbo Liang
IEEE Transactions on Nanobioscience|April 17, 2019
Automatic Hand Skeletal Shape Estimation From RadiographsRadu Paul Mihail, Gongbo Liang, Nathan Jacobs
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Weakly-Supervised Self-Training for Breast Cancer Localization<sup>.</sup>Gongbo Liang, Xiaoqin Wang, Yu Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|April 27, 2023
Simulated Quantum Mechanics-Based Joint Learning Network for Stroke Lesion Segmentation and TICI GradingLiangliang Liu, Jing Chang, Gongbo Liang, et al.
Bioengineering (Basel, Switzerland)|August 26, 2023
Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoderXin Xing, Gongbo Liang, Chris Wang, et al.
BMC Medical Imaging|March 23, 2022
Development of CNN models for the enteral feeding tube positioning assessment on a small scale data setGongbo Liang, Halemane Ganesh, Dylan Steffe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Multi-Scale Self-Supervised Consistency Training for Trustworthy Medical Imaging ClassificationBonian Han, Cristian Moran, Jeong Yang, et al.
Frontiers in Neuroinformatics|May 23, 2022
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range FeaturesLiangliang Liu, Ying Wang, Jing Chang, et al.
Journal of the American College of Radiology : JACR|February 19, 2020
Inconsistent Performance of Deep Learning Models on Mammogram ClassificationXiaoqin Wang, Gongbo Liang, Yu Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic FeaturesQi Ying, Xin Xing, Liangliang Liu, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
IEEE Pulse|May 15, 2026
Uncertainty-Aware Vision-Language Learning Improves Chest X-Ray RetrievalAhmad Elallaf, Yuktha Priya Masupalli, Gongbo Liang
IEEE Transactions on Nanobioscience|April 17, 2019
Automatic Hand Skeletal Shape Estimation From RadiographsRadu Paul Mihail, Gongbo Liang, Nathan Jacobs
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Weakly-Supervised Self-Training for Breast Cancer Localization<sup>.</sup>Gongbo Liang, Xiaoqin Wang, Yu Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|April 27, 2023
Simulated Quantum Mechanics-Based Joint Learning Network for Stroke Lesion Segmentation and TICI GradingLiangliang Liu, Jing Chang, Gongbo Liang, et al.
Bioengineering (Basel, Switzerland)|August 26, 2023
Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoderXin Xing, Gongbo Liang, Chris Wang, et al.
BMC Medical Imaging|March 23, 2022
Development of CNN models for the enteral feeding tube positioning assessment on a small scale data setGongbo Liang, Halemane Ganesh, Dylan Steffe, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Multi-Scale Self-Supervised Consistency Training for Trustworthy Medical Imaging ClassificationBonian Han, Cristian Moran, Jeong Yang, et al.
Frontiers in Neuroinformatics|May 23, 2022
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range FeaturesLiangliang Liu, Ying Wang, Jing Chang, et al.
Journal of the American College of Radiology : JACR|February 19, 2020
Inconsistent Performance of Deep Learning Models on Mammogram ClassificationXiaoqin Wang, Gongbo Liang, Yu Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic FeaturesQi Ying, Xin Xing, Liangliang Liu, et al.
Pageof 2