About Me curriculum vitae
Hi, I'm Gongbo "Tony" Liang.
A PhD candidate (ABD) in Computer Science at the University of Kentucky under the supervision of Dr. Nathan Jacobs.
My research interests include deep learning, medical imaging, computer vision, machine learning.
A PhD candidate (ABD) in Computer Science at the University of Kentucky under the supervision of Dr. Nathan Jacobs.
My research interests include deep learning, medical imaging, computer vision, machine learning.
Recent News
- 07/31/2020: One paper on Alzheimer's disease diagnose using MRI images is accepted by ECCV'20 BIC Workshop.
- 07/29/2020: One paper about neural network calibration is accepted by BMVC'20. (Acceptance rate 29.1%)
- 07/29/2020: One research about Alzheimer's disease is mentioned in UKNow.
- 06/30/2020: One paper about calibration for medical imaging classification models is accepted by ICML'20 Uncertainty & Robustness in Deep Learning Workshop.
- 06/15/2020: One paper about biomarkers categorized and their predictive utility in identifying different stages in Alzheimer’s disease (AD) progression using is accepted by Nature Communications Biology.
- 04/17/2020: Received the Outstanding Ph.D. Student Award of the Computer Science Department for the 2019-2020 academic year.
- 04/10/2020: One paper about weakly-supervised self-training for breast cancer localization is accepted by EMBC'20 as an oral presentation.
- 02/18/2020: AI in Healthcare published an article that highlighted my latest JACR paper about the inconsistency performance of deep learning on breast cancer classification. [Read more here]
- 02/14/2020: One paper about translational relevance of deep learning model performance on mammograms is accepted by the Journal of the American College of Radiology (impact factor: 3.785).
- 02/10/2020: One conference paper on mammography classification is invited to the thematic issue entitled "Artificial Intelligence on High Throughput Data for Biomedical Research" in the Combinatorial Chemistry & High Throughput Screening (impact factor: 1.503).
- 11/18/2019: An interesting article was published highlighting some of the work I have been doing on using computer vision techniques to identify breast cancer. [Read more here]
- 11/01/2019: One paper on defending against adversarial attacks on point-cloud neural networks accepted to IEEE Big Data 2019
- 10/01/2019: Two papers on mammography classification are accepted by BIBM'19 as oral presentations
- 08/02/2019: One abstract on unsupervised mammography classification is accepted for oral presentation at C-MIMI'19
- 07/19/2019: One abstract on 2D-3D mammography classification accepted for oral presentation at RSNA 2019
- 05/07/2019: One poster on mammography analysis is received the 2nd Place in Basic Science Category at MCCRD'19
- 04/03/2019: One paper on CT imaging standardizing using GAN is accepted by IEEE ICHI'19 as oral presentation (acceptance rate ~28%) [pdf] [bibTex]
- 03/27/2019: Paper on hand skeletal shape estimation is accepted by IEEE Transactions on NanoBioscience (impact factor:1.927) [html] [bibTex]
- 01/14/2019: One abstract on mammography dataset evaluation is accepted by 2019 SBI/ACR Breast Imaging Symposium
- 06/12/2018: One abstract on chest CT analysis is accepted by AMIA'18 (acceptance rate ~22%) [pdf]
- 04/26/2017: One abstract on radiomic features dependency study is accepted by AAPM'17 as oral presentation [html] [bibTex]
- 05/06/2016: One paper on pedestrian detection is accepted by ICIP'16 [htm] [bibTex]
- 04/02/2016: One paper on pedestrian detection is received Best Graduate Oral Paper Award for Natural Sciences Category at the 46th WKU Annual Student Research Conference
- 08/10/2016: Join in the Ph.D. in Computer Science Program at University of Kentucky
- 04/30/2016: One paper on pedestrian detection is accepted by IEEE ICIP'16 [htm] [pdf] [bibTex]
- 07/12/2015: One paper on traffic sign detection is accepted by IEEE ChinaSIP'15 [pdf] [bibTex]
