Kristopher Standish

According to our database, Kristopher Standish authored at least 9 papers between 2015 and 2025.

Collaborative distances:

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

2025

GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification.

Basudha Pal, Sharif Amit Kamran, Brendon Lutnick, Molly V. Lucas, Chaitanya Parmar, Asha Patel Shah, David Apfel, Steven Fakharzadeh, Lloyd Miller, Gabriela Oana Cula, Kristopher Standish

CoRR, June, 2025

PSO-NET: Development of an Automated Psoriasis Assessment System Using Attention-Based Interpretable Deep Neural Networks.

Sharif Amit Kamran, Molly V. Lucas, Brendon Lutnick, Chaitanya Parmar, Basudha Pal, Asha Patel Shah, David Apfel, Steven Fakharzadeh, Lloyd Miller, Stephen S. F. Yip, Kristopher Standish, Gabriela Oana Cula

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis.

Darshana Govind, Zijun Gao, Chaitanya Parmar, Kenneth Broos, Nicholas Fountoulakis, Lenore Noonan, Shinobu Yamamoto, Natalia Zemlianskaia, Craig S. Meyer, Emily Scherer, Michael Deman, Pablo F. Damasceno, Philip S. Murphy, Terence Rooney, Elizabeth Hsia, Anna Beutler, Robert L. Janiczek, Stephen S. F. Yip, Kristopher Standish

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos.

Krishna Chaitanya, Pablo F. Damasceno, Shreyas Fadnavis, Pooya Mobadersany, Chaitanya Parmar, Emily Scherer, Natalia Zemlianskaia, Lindsey Surace, Louis Ghanem, Gabriela Oana Cula, Tommaso Mansi, Kristopher Standish

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos.

Pooya Mobadersany, Chaitanya Parmar, Pablo F. Damasceno, Shreyas Fadnavis, Krishna Chaitanya, Shilong Li, Evan Schwab, Jaclyn Xiao, Lindsey Surace, Tommaso Mansi, Gabriela Oana Cula, Louis Ghanem, Kristopher Standish

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension.

Shreyas Fadnavis, Chaitanya Parmar, Nastaran Emaminejad, Alvaro Ulloa Cerna, Areez Malik, Mona Selej, Tommaso Mansi, Preston Dunnmon, Tarik Yardibi, Kristopher Standish, Pablo F. Damasceno

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

Automatic estimation of ulcerative colitis severity from endoscopy videos using ordinal multi-instance learning.

Evan Schwab, Gabriela Oana Cula, Kristopher Standish, Stephen S. F. Yip, Aleksandar Stojmirovic, Louis Ghanem, Christel Chehoud

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

2020

Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors.

A. J. Venkatakrishnan, Arjun Puranik, Akash Anand, David Zemmour, Xiang Yao, Xiaoying Wu, Ramakrishna Chilaka, Dariusz K. Murakowski, Kristopher Standish, Bharathwaj Raghunathan, Tyler Wagner, Enrique Garcia-Rivera, Hugo Solomon, Abhinav Garg, Rakesh Barve, Anuli Anyanwu-Ofili, Najat Khan, Venky Soundararajan

CoRR, 2020

2015

Group-based variant calling leveraging next-generation supercomputing for large-scale whole-genome sequencing studies.

Kristopher Standish, Tristan M. Carland, Glenn K. Lockwood, Wayne Pfeiffer, Mahidhar Tatineni, C. Huang, Sarah Lamberth, Yauheniya Cherkas, Carrie Brodmerkel, Ed Jaeger, Lance Smith, Gunaretnam Rajagopal, Mark Curran, Nicholas J. Schork

BMC Bioinform., 2015