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Arief A. Suriawinata
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2020 – today
- 2024
- [i13]Shuai Jiang, Christina M. Robinson, Joseph Anderson, William Hisey, Lynn Butterly, Arief A. Suriawinata, Saeed Hassanpour:
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records. CoRR abs/2410.09880 (2024) - 2023
- [j2]Shuai Jiang
, Arief A. Suriawinata, Saeed Hassanpour:
MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images. Comput. Biol. Medicine 158: 106883 (2023) - [i12]Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour:
Masked Pre-Training of Transformers for Histology Image Analysis. CoRR abs/2304.07434 (2023) - 2021
- [j1]Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe
Resolution-based distillation for efficient histology image classification. Artif. Intell. Medicine 119: 102136 (2021) - [c7]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:
A Petri Dish for Histopathology Image Analysis. AIME 2021: 11-24 - [c6]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:
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. WACV 2021: 2472-2482 - [i11]Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour:
Resolution-Based Distillation for Efficient Histology Image Classification. CoRR abs/2101.04170 (2021) - [i10]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:
A Petri Dish for Histopathology Image Analysis. CoRR abs/2101.12355 (2021) - [i9]Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour:
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images. CoRR abs/2110.11558 (2021) - 2020
- [c5]Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour:
Difficulty Translation in Histopathology Images. AIME 2020: 238-248 - [i8]Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour:
Difficulty Translation in Histopathology Images. CoRR abs/2004.12535 (2020) - [i7]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:
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. CoRR abs/2009.13698 (2020)
2010 – 2019
- 2019
- [c4]Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour:
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. ML4H@NeurIPS 2019: 10-24 - [i6]Jason W. Wei, Jerry W. Wei, Christopher R. Jackson, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour:
Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach. CoRR abs/1901.11447 (2019) - [i5]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:
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation. CoRR abs/1909.12959 (2019) - [i4]Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour:
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. CoRR abs/1910.05827 (2019) - [i3]Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour:
Predicting colorectal polyp recurrence using time-to-event analysis of medical records. CoRR abs/1911.07368 (2019) - 2018
- [c3]Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, John H. Higgins, Saeed Hassanpour:
Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records. AMIA 2018 - [c2]Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour:
Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence. BIBM 2018: 993-998 - [i2]Naofumi Tomita, Behnaz Abdollahi, Jason Wei, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour:
Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. CoRR abs/1811.08513 (2018) - 2017
- [c1]Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour:
Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. CVPR Workshops 2017: 821-827 - [i1]Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour:
Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images. CoRR abs/1703.01550 (2017)
Coauthor Index
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