Publications
A selected list of publications:
Smedley NF, El-Saden S, Hsu W. Discovering and interpreting transcriptomic drivers of imaging traits using neural networks. Bioinformatics. 2020 Jun 1;36(11):3537-48.
Wibulpolprasert P, Raman SS, Hsu W, Margolis DJ, Asvadi NH, Khoshnoodi P, Moshksar A, Tan N, Ahuja P, Maehara CK, Sisk A. Influence of the Location and Zone of Tumor in Prostate Cancer Detection and Localization on 3-T Multiparametric MRI Based on PI-RADS Version 2. American Journal of Roentgenology. 2020 May;214(5):1101-11.
Wei L, Lin W, Hsu W. Using a generative adversarial network for CT normalization and its Impact on radiomic features. IEEE Intl Symp Biomedical Imaging. Iowa City, Iowa. Apr 3-7, 2020.
Smedley NF, El-Saden S, Hsu W. Discovering and interpreting transcriptomic drivers of imaging traits using neural networks. Bioinformatics. 2020 Feb 26:btaa126. DOI: 10.1093/bioinformatics/btaa126. Epub ahead of print. PMID: 32101278.
Li M, Hsu W, Xie X, Cong J, Gao W. SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising with Self-supervised Perceptual Loss Network. IEEE Trans Med Imaging. 2020 Jan 21. DOI: 10.1109/TMI.2020.2968472. Epub ahead of print. PMID: 31985412.
Johnson DC, Raman SS, Mirak SA, Kwan L, Bajgiran AM, Hsu W, Maehara CK, Ahuja P, Faiena I, Pooli A, Salmasi A, Sisk A, Felker ER, Lu DSK, Reiter RE. Detection of Individual Prostate Cancer Foci via Multiparametric Magnetic Resonance Imaging. Eur Urol. 2019 May;75(5):712-720. DOI: 10.1016/j.eururo.2018.11.031. Epub 2018 Dec 1. PMID: 30509763.
Petousis P, Han SX, Hsu W, Bui AAT. Generating Reward Functions Using IRL Towards Individualized Cancer Screening. Artif Intell Health (2018). 2019;11326:213-227. DOI: 10.1007/978-3-030-12738-1_16. Epub 2019 Feb 21. PMID: 31363717; PMCID: PMC6667225.
Faiena Izak, Salmasi Amirali, Mendhiratta Neil, Markovic Daniela, Ahuja Preeti, Hsu William, Elashoff David A, Raman Steven S, Reiter Robert E, PI-RADS Version 2 Category on 3 Tesla Multiparametric Prostate Magnetic Resonance Imaging Predicts Oncologic Outcomes in Gleason 3 + 4 Prostate Cancer on Biopsy. The Journal of urology. 2019; 201(1): 91-97.
Hsu W, Elmore Joann G, Shining Light Into the Black Box of Machine Learning. Journal of the National Cancer Institute. 2019; 19(1): e142-e151.
Johnson David C, Raman Steven S, Mirak Sohrab A, Kwan Lorna, Bajgiran Amirhossein M, Hsu William, Maehara Cleo K, Ahuja Preeti, Faiena Izak, Pooli Aydin, Salmasi Amirali, Sisk Anthony, Felker Ely R, Lu David S K, Reiter Robert E, Detection of Individual Prostate Cancer Foci via Multiparametric Magnetic Resonance Imaging. European urology. 2019; 75(5): 712-720.
Petousis Panayiotis, Naeim Arash, Mosleh Ali, Hsu William, Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models. AMIA ... Annual Symposium proceedings. AMIA Symposium. 2018; 2018(1): 1461-1470.
Petousis Panayiotis, Han Simon X, Hsu William, Bui Alex A T, Generating Reward Functions Using IRL Towards Individualized Cancer Screening. Artificial intelligence in health : first International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised selected papers. AIH (Workshop) (1st : 2018 : Stockholm, Sweden). 2019; 11326(1): 213-227.
Laviana Aaron A, Ilg Annette M, Veruttipong Darlene, Tan Hung-Jui, Burke Michael A, Niedzwiecki Douglas R, Kupelian Patrick A, King Chris R, Steinberg Michael L, Kundavaram Chandan R, Kamrava Mitchell, Kaplan Alan L, Moriarity Andrew K, Hsu William, Margolis Daniel J A, Hu Jim C, Saigal Christopher S, Utilizing time-driven activity-based costing to understand the short- and long-term costs of treating localized, low-risk prostate cancer. Cancer. 2016; 122(3): 447-55.
Hsu William, Gonzalez Nestor R, Chien Aichi, Pablo Villablanca J, Pajukanta Päivi, Vinuela Fernando V, Bui Alex A T, An integrated, ontology-driven approach to constructing observational databases for research. Journal of biomedical informatics. 2015; 26(5).