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2020 – today
- 2024
[j4]Muhammad Imran
, Brianna Nguyen, Jake Pensa, Sara M. Falzarano, Anthony E. Sisk, Muxuan Liang, John Michael DiBianco, Li-Ming Su, Yuyin Zhou, Jason P. Joseph, Wayne G. Brisbane, Wei Shao:
Image registration of in vivo micro-ultrasound and ex vivo pseudo-whole mount histopathology images of the prostate: A proof-of-concept study. Biomed. Signal Process. Control. 96: 106657 (2024)- [i4]Ekaterina Redekop, Mara Pleasure, Zichen Wang, Anthony Sisk, Yang Zong, Kimberly Flores, William Speier, Corey W. Arnold:
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning. CoRR abs/2409.08331 (2024) - 2023
- [c4]Zichen Wang, Mara Pleasure, Haoyue Zhang, Kimberly Flores, Anthony Sisk, William Speier, Corey W. Arnold:
Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides. MICCAI (6) 2023: 642-651 - [i3]Muhammad Imran, Brianna Nguyen, Jake Pensa, Sara M. Falzarano, Anthony E. Sisk, Muxuan Liang, John Michael DiBianco, Li-Ming Su, Yuyin Zhou, Wayne G. Brisbane, Wei Shao:
Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study. CoRR abs/2305.19939 (2023) - 2022
- [j3]Wenyuan Li, Jiayun Li, Zichen Wang, Jennifer Polson, Anthony E. Sisk, Dipti P. Sajed, William Speier, Corey W. Arnold:
PathAL: An Active Learning Framework for Histopathology Image Analysis. IEEE Trans. Medical Imaging 41(5): 1176-1187 (2022) - [c3]Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold:
Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning. MIDL 2022: 975-987 - 2021
- [j2]Jiayun Li, Wenyuan Li, Anthony E. Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold:
A multi-resolution model for histopathology image classification and localization with multiple instance learning. Comput. Biol. Medicine 131: 104253 (2021) - [c2]Jake Pensa, Wayne Brisbane, Alan Priester, Anthony Sisk, Leonard S. Marks, Rory Geoghegan:
A System for Co-Registration of High-Resolution Ultrasound, Magnetic Resonance Imaging, and Whole-Mount Pathology for Prostate Cancer. EMBC 2021: 3890-3893 - [c1]Zichen Wang, Jiayun Li, Zhufeng Pan, Wenyuan Li, Anthony E. Sisk, Huihui Ye, William Speier, Corey W. Arnold:
Hierarchical Graph Pathomic Network for Progression Free Survival Prediction. MICCAI (8) 2021: 227-237 - 2020
- [i2]Kevin de Haan, Yijie Zhang, Tairan Liu, Anthony E. Sisk, Miguel F. P. Diaz, Jonathan E. Zuckerman, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan:
Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis. CoRR abs/2008.08871 (2020) - [i1]Jiayun Li, Wenyuan Li, Anthony E. Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold:
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning. CoRR abs/2011.02679 (2020)
2010 – 2019
- 2019
- [j1]Alan Priester, Holden H. Wu, Pooria Khoshnoodi, Douglas Schneider, Zhaohuan Zhang, Nazanin H. Asvadi, Anthony Sisk, Steven S. Raman, Robert E. Reiter, Warren S. Grundfest, Leonard S. Marks, Shyam Natarajan:
Registration Accuracy of Patient-Specific, Three-Dimensional-Printed Prostate Molds for Correlating Pathology With Magnetic Resonance Imaging. IEEE Trans. Biomed. Eng. 66(1): 14-22 (2019)
Coauthor Index
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