Arief A. Suriawinata

According to our database, Arief A. Suriawinata authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records.

Shuai Jiang, Christina M. Robinson, Joseph Anderson, William Hisey, Lynn Butterly, Arief A. Suriawinata, Saeed Hassanpour

CoRR, 2024

2023

MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images.

Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour

Comput. Biol. Medicine, May, 2023

Masked Pre-Training of Transformers for Histology Image Analysis.

Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour

CoRR, 2023

2021

Resolution-based distillation for efficient histology image classification.

Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour

Artif. Intell. Medicine, 2021

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification.

Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Petri Dish for Histopathology Image Analysis.

Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Difficulty Translation in Histopathology Images.

Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Predicting colorectal polyp recurrence using time-to-event analysis of medical records.

Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour

CoRR, 2019

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation.

Jason W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Naofumi Tomita, Behnaz Abdollahi, Adam S. Kim, Dale C. Snover, John A. Baron, Elizabeth L. Barry, Saeed Hassanpour

CoRR, 2019

Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach.

Jason W. Wei, Jerry W. Wei, Christopher R. Jackson, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour

CoRR, 2019

Generative Image Translation for Data Augmentation in Colorectal Histopathology Images.

Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour

Proceedings of the Machine Learning for Health Workshop, 2019

2018

Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images.

Naofumi Tomita, Behnaz Abdollahi, Jason Wei, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour

CoRR, 2018

Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence.

Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records.

Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, John H. Higgins, Saeed Hassanpour

Proceedings of the AMIA 2018, 2018

2017

Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images.

Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour

CoRR, 2017

Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps.

Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017