Arief A. Suriawinata

23 papers A 1B 2Misc 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning. CoRR Peiying Hua, Andrea M. Olofson, Faraz Farhadi, Liesbeth Hondelink, Gregory Tsongalis, Konstantin Dragnev, Dagmar Hoegemann Savellano, Arief A. Suriawinata, Laura J. Tafe, Saeed Hassanpour
2024	J	`jnl`	Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records. CoRR Shuai Jiang, Christina M. Robinson, Joseph Anderson, William Hisey, Lynn Butterly, Arief A. Suriawinata, Saeed Hassanpour
2023	J	`jnl`	MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images. Comput. Biol. Medicine Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour
2023	J	`jnl`	Masked Pre-Training of Transformers for Histology Image Analysis. CoRR Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour
2021	B	`conf`	A Petri Dish for Histopathology Image Analysis. AIME 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
2021	J	`jnl`	A Petri Dish for Histopathology Image Analysis. CoRR 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
2021	A	`conf`	Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. WACV 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
2021	J	`jnl`	MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images. CoRR Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour
2021	J	`jnl`	Resolution-Based Distillation for Efficient Histology Image Classification. CoRR Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
2021	J	`jnl`	Resolution-based distillation for efficient histology image classification. Artif. Intell. Medicine Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
2020	B	`conf`	Difficulty Translation in Histopathology Images. AIME Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour
2020	J	`jnl`	Difficulty Translation in Histopathology Images. CoRR Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour
2020	J	`jnl`	Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. CoRR 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
2019	J	`jnl`	Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach. CoRR Jason W. Wei, Jerry W. Wei, Christopher R. Jackson, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour
2019	J	`jnl`	Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation. CoRR 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
2019	—	`conf`	Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. ML4H@NeurIPS Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
2019	J	`jnl`	Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. CoRR Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
2019	J	`jnl`	Predicting colorectal polyp recurrence using time-to-event analysis of medical records. CoRR Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour
2018	—	`conf`	Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence. BIBM Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour
2018	J	`jnl`	Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. CoRR Naofumi Tomita, Behnaz Abdollahi, Jason Wei, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour
2018	Misc	`conf`	Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records. AMIA Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, John H. Higgins, Saeed Hassanpour
2017	J	`jnl`	Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images. CoRR Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour
2017	—	`conf`	Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. CVPR Workshops Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour