Registration Accuracy of Patient-Specific, Three-Dimensional-Printed Prostate Molds for Correlating Pathology With Magnetic Resonance Imaging. - 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 (IEEE Trans. Biomed. Eng., 2019)

Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis. - Kevin de Haan; Yijie Zhang; Tairan Liu; Anthony E. Sisk; Miguel F. P. Diaz; Jonathan E. Zuckerman; Yair Rivenson; W. Dean Wallace; Aydogan Ozcan (CoRR, 2020)

A System for Co-Registration of High-Resolution Ultrasound, Magnetic Resonance Imaging, and Whole-Mount Pathology for Prostate Cancer. - Jake Pensa; Wayne Brisbane; Alan Priester; Anthony Sisk; Leonard S. Marks; Rory Geoghegan (EMBC, 2021)

Hierarchical Graph Pathomic Network for Progression Free Survival Prediction. - Zichen Wang; Jiayun Li; Zhufeng Pan; Wenyuan Li 001; Anthony E. Sisk; Huihui Ye; William Speier; Corey W. Arnold (MICCAI (8), 2021)

A multi-resolution model for histopathology image classification and localization with multiple instance learning. - Jiayun Li; Wenyuan Li 001; Anthony E. Sisk; Huihui Ye; W. Dean Wallace; William Speier; Corey W. Arnold (Comput. Biol. Medicine, 2021)

Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning. - Ekaterina Redekop; Karthik V. Sarma; Adam Kinnaird; Anthony Sisk; Steven S. Raman; Leonard S. Marks; William Speier; Corey W. Arnold (MIDL, 2022)

PathAL: An Active Learning Framework for Histopathology Image Analysis. - Wenyuan Li 001; Jiayun Li; Zichen Wang; Jennifer Polson; Anthony E. Sisk; Dipti P. Sajed; William Speier; Corey W. Arnold (IEEE Trans. Medical Imaging, 2022)

Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides. - Zichen Wang; Mara Pleasure; Haoyue Zhang; Kimberly Flores; Anthony Sisk; William Speier; Corey W. Arnold (MICCAI (6), 2023)

Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study. - Muhammad Imran 013; 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 008 (CoRR, 2023)

Deep Learning Classification of Prostate Cancer on Confidently Labeled Micro-Ultrasound Images. - Jake Pensa; Wayne Brisbane; Adam Kinnaird; David Kuppermann; Griffith Hughes; Derrick Ushko; Anthony Sisk; Leonard S. Marks; Rory Geoghegan (EMBC, 2024)

Image registration of in vivo micro-ultrasound and ex vivo pseudo-whole mount histopathology images of the prostate: A proof-of-concept study. - Muhammad Imran 013; 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 008 (Biomed. Signal Process. Control., 2024)

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning. - Ekaterina Redekop; Mara Pleasure; Zichen Wang; Anthony Sisk; Yang Zong; Kimberly Flores; William Speier; Corey W. Arnold (CoRR, 2024)

Prototype-Guided Diffusion for Digital Pathology: Achieving Foundation Model Performance with Minimal Clinical Data. - Ekaterina Redekop; Mara Pleasure; Vedrana Ivezic; Zichen Wang; Kimberly Flores; Anthony Sisk; William Speier; Corey W. Arnold (CVPR Workshops, 2025)

SPADE: Spatial Transcriptomics and Pathology Alignment Using a Mixture of Data Experts for an Expressive Latent Space. - Ekaterina Redekop; Mara Pleasure; Zichen Wang; Kimberly Flores; Anthony Sisk; William Speier; Corey W. Arnold (CoRR, 2025)