Anthony E. Sisk

According to our database, Anthony E. Sisk authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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

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, 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

Biomed. Signal Process. Control., 2024

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

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

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, 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

CoRR, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

PathAL: An Active Learning Framework for Histopathology Image Analysis.

Wenyuan Li, Jiayun Li, Zichen Wang, Jennifer Polson, Anthony E. Sisk, Dipti P. Sajed, William Speier, Corey W. Arnold

IEEE Trans. Medical Imaging, 2022

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

A multi-resolution model for histopathology image classification and localization with multiple instance learning.

Jiayun Li, Wenyuan Li, Anthony E. Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold

Comput. Biol. Medicine, 2021

Hierarchical Graph Pathomic Network for Progression Free Survival Prediction.

Zichen Wang, Jiayun Li, Zhufeng Pan, Wenyuan Li, Anthony E. Sisk, Huihui Ye, William Speier, Corey W. Arnold

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

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

2019

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