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Ken Chang

Three Applications of Conformal Prediction for Rating Breast Density in Mammography



Charles Lu , Ken Chang , Praveer Singh , Jayashree Kalpathy-Cramer

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* Accepted to Workshop on Distribution-Free Uncertainty Quantification at ICML 2022 
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Federated Learning Enables Big Data for Rare Cancer Boundary Detection



Sarthak Pati , Ujjwal Baid , Brandon Edwards , Micah Sheller , Shih-Han Wang , G Anthony Reina , Patrick Foley , Alexey Gruzdev , Deepthi Karkada , Christos Davatzikos , Chiharu Sako , Satyam Ghodasara , Michel Bilello , Suyash Mohan , Philipp Vollmuth , Gianluca Brugnara , Chandrakanth J Preetha , Felix Sahm , Klaus Maier-Hein , Maximilian Zenk , Martin Bendszus , Wolfgang Wick , Evan Calabrese , Jeffrey Rudie , Javier Villanueva-Meyer , Soonmee Cha , Madhura Ingalhalikar , Manali Jadhav , Umang Pandey , Jitender Saini , John Garrett , Matthew Larson , Robert Jeraj , Stuart Currie , Russell Frood , Kavi Fatania , Raymond Y Huang , Ken Chang , Carmen Balana , Jaume Capellades , Josep Puig , Johannes Trenkler , Josef Pichler , Georg Necker , Andreas Haunschmidt , Stephan Meckel , Gaurav Shukla , Spencer Liem , Gregory S Alexander , Joseph Lombardo , Joshua D Palmer , Adam E Flanders , Adam P Dicker , Haris I Sair , Craig K Jones , Archana Venkataraman , Meirui Jiang , Tiffany Y So , Cheng Chen , Pheng Ann Heng , Qi Dou , Michal Kozubek , Filip Lux , Jan Michálek , Petr Matula , Miloš Keřkovský , Tereza Kopřivová , Marek Dostál , Václav Vybíhal , Michael A Vogelbaum , J Ross Mitchell , Joaquim Farinhas , Joseph A Maldjian , Chandan Ganesh Bangalore Yogananda , Marco C Pinho , Divya Reddy , James Holcomb , Benjamin C Wagner , Benjamin M Ellingson , Timothy F Cloughesy , Catalina Raymond , Talia Oughourlian , Akifumi Hagiwara , Chencai Wang , Minh-Son To , Sargam Bhardwaj , Chee Chong , Marc Agzarian , Alexandre Xavier Falcão , Samuel B Martins , Bernardo C A Teixeira , Flávia Sprenger , David Menotti , Diego R Lucio , Pamela LaMontagne , Daniel Marcus , Benedikt Wiestler , Florian Kofler , Ivan Ezhov , Marie Metz , Rajan Jain , Matthew Lee , Yvonne W Lui , Richard McKinley , Johannes Slotboom , Piotr Radojewski , Raphael Meier , Roland Wiest , Derrick Murcia , Eric Fu , Rourke Haas , John Thompson , David Ryan Ormond , Chaitra Badve , Andrew E Sloan , Vachan Vadmal , Kristin Waite , Rivka R Colen , Linmin Pei , Murat Ak , Ashok Srinivasan , J Rajiv Bapuraj , Arvind Rao , Nicholas Wang , Ota Yoshiaki , Toshio Moritani , Sevcan Turk , Joonsang Lee , Snehal Prabhudesai , Fanny Morón , Jacob Mandel , Konstantinos Kamnitsas , Ben Glocker , Luke V M Dixon , Matthew Williams , Peter Zampakis , Vasileios Panagiotopoulos , Panagiotis Tsiganos , Sotiris Alexiou , Ilias Haliassos , Evangelia I Zacharaki , Konstantinos Moustakas , Christina Kalogeropoulou , Dimitrios M Kardamakis , Yoon Seong Choi , Seung-Koo Lee , Jong Hee Chang , Sung Soo Ahn , Bing Luo , Laila Poisson , Ning Wen , Pallavi Tiwari , Ruchika Verma , Rohan Bareja , Ipsa Yadav , Jonathan Chen , Neeraj Kumar , Marion Smits , Sebastian R van der Voort , Ahmed Alafandi , Fatih Incekara , Maarten MJ Wijnenga , Georgios Kapsas , Renske Gahrmann , Joost W Schouten , Hendrikus J Dubbink , Arnaud JPE Vincent , Martin J van den Bent , Pim J French , Stefan Klein , Yading Yuan , Sonam Sharma , Tzu-Chi Tseng , Saba Adabi , Simone P Niclou , Olivier Keunen , Ann-Christin Hau , Martin Vallières , David Fortin , Martin Lepage , Bennett Landman , Karthik Ramadass , Kaiwen Xu , Silky Chotai , Lola B Chambless , Akshitkumar Mistry , Reid C Thompson , Yuriy Gusev , Krithika Bhuvaneshwar , Anousheh Sayah , Camelia Bencheqroun , Anas Belouali , Subha Madhavan , Thomas C Booth , Alysha Chelliah , Marc Modat , Haris Shuaib , Carmen Dragos , Aly Abayazeed , Kenneth Kolodziej , Michael Hill , Ahmed Abbassy , Shady Gamal , Mahmoud Mekhaimar , Mohamed Qayati , Mauricio Reyes , Ji Eun Park , Jihye Yun , Ho Sung Kim , Abhishek Mahajan , Mark Muzi , Sean Benson , Regina G H Beets-Tan , Jonas Teuwen , Alejandro Herrera-Trujillo , Maria Trujillo , William Escobar , Ana Abello , Jose Bernal , Jhon Gómez , Joseph Choi , Stephen Baek , Yusung Kim , Heba Ismael , Bryan Allen , John M Buatti , Aikaterini Kotrotsou , Hongwei Li , Tobias Weiss , Michael Weller , Andrea Bink , Bertrand Pouymayou , Hassan F Shaykh , Joel Saltz , Prateek Prasanna , Sampurna Shrestha , Kartik M Mani , David Payne , Tahsin Kurc , Enrique Pelaez , Heydy Franco-Maldonado , Francis Loayza , Sebastian Quevedo , Pamela Guevara , Esteban Torche , Cristobal Mendoza , Franco Vera , Elvis Ríos , Eduardo López , Sergio A Velastin , Godwin Ogbole , Dotun Oyekunle , Olubunmi Odafe-Oyibotha , Babatunde Osobu , Mustapha Shu'aibu , Adeleye Dorcas , Mayowa Soneye , Farouk Dako , Amber L Simpson , Mohammad Hamghalam , Jacob J Peoples , Ricky Hu , Anh Tran , Danielle Cutler , Fabio Y Moraes , Michael A Boss , James Gimpel , Deepak Kattil Veettil , Kendall Schmidt , Brian Bialecki , Sailaja Marella , Cynthia Price , Lisa Cimino , Charles Apgar , Prashant Shah , Bjoern Menze , Jill S Barnholtz-Sloan , Jason Martin , Spyridon Bakas

* federated learning, deep learning, convolutional neural network, segmentation, brain tumor, glioma, glioblastoma, FeTS, BraTS 
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Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating



Ikbeom Jang , Garrison Danley , Ken Chang , Jayashree Kalpathy-Cramer

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* 5 pages, 2 figures, NeurIPS Data-Centric AI Workshop 2021 
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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results



Raghav Mehta , Angelos Filos , Ujjwal Baid , Chiharu Sako , Richard McKinley , Michael Rebsamen , Katrin Dätwyler , Raphael Meier , Piotr Radojewski , Gowtham Krishnan Murugesan , Sahil Nalawade , Chandan Ganesh , Ben Wagner , Fang F. Yu , Baowei Fei , Ananth J. Madhuranthakam , Joseph A. Maldjian , Laura Daza , Catalina Gómez , Pablo Arbeláez , Chengliang Dai , Shuo Wang , Hadrien Raynaud , Yuanhan Mo , Elsa Angelini , Yike Guo , Wenjia Bai , Subhashis Banerjee , Linmin Pei , Murat AK , Sarahi Rosas-González , Illyess Zemmoura , Clovis Tauber , Minh H. Vu , Tufve Nyholm , Tommy Löfstedt , Laura Mora Ballestar , Veronica Vilaplana , Hugh McHugh , Gonzalo Maso Talou , Alan Wang , Jay Patel , Ken Chang , Katharina Hoebel , Mishka Gidwani , Nishanth Arun , Sharut Gupta , Mehak Aggarwal , Praveer Singh , Elizabeth R. Gerstner , Jayashree Kalpathy-Cramer , Nicolas Boutry , Alexis Huard , Lasitha Vidyaratne , Md Monibor Rahman , Khan M. Iftekharuddin , Joseph Chazalon , Elodie Puybareau , Guillaume Tochon , Jun Ma , Mariano Cabezas , Xavier Llado , Arnau Oliver , Liliana Valencia , Sergi Valverde , Mehdi Amian , Mohammadreza Soltaninejad , Andriy Myronenko , Ali Hatamizadeh , Xue Feng , Quan Dou , Nicholas Tustison , Craig Meyer , Nisarg A. Shah , Sanjay Talbar , Marc-Andr Weber , Abhishek Mahajan , Andras Jakab , Roland Wiest , Hassan M. Fathallah-Shaykh , Arash Nazeri , Mikhail Milchenko , Daniel Marcus , Aikaterini Kotrotsou , Rivka Colen , John Freymann , Justin Kirby , Christos Davatzikos , Bjoern Menze , Spyridon Bakas , Yarin Gal , Tal Arbel

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* Under submission at MELBA journal 
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Deploying clinical machine learning? Consider the following...



Charles Lu , Ken Chang , Praveer Singh , Stuart Pomerantz , Sean Doyle , Sujay Kakarmath , Christopher Bridge , Jayashree Kalpathy-Cramer

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Fair Conformal Predictors for Applications in Medical Imaging



Charles Lu , Andreanne Lemay , Ken Chang , Katharina Hoebel , Jayashree Kalpathy-Cramer

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Addressing catastrophic forgetting for medical domain expansion



Sharut Gupta , Praveer Singh , Ken Chang , Liangqiong Qu , Mehak Aggarwal , Nishanth Arun , Ashwin Vaswani , Shruti Raghavan , Vibha Agarwal , Mishka Gidwani , Katharina Hoebel , Jay Patel , Charles Lu , Christopher P. Bridge , Daniel L. Rubin , Jayashree Kalpathy-Cramer

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* First three authors contributed equally 
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The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions



Sharut Gupta , Praveer Singh , Ken Chang , Mehak Aggarwal , Nishanth Arun , Liangqiong Qu , Katharina Hoebel , Jay Patel , Mishka Gidwani , Ashwin Vaswani , Daniel L Rubin , Jayashree Kalpathy-Cramer

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* Accepted as oral presentation in Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract ; 6 pages and 4 figures 
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Towards Trainable Saliency Maps in Medical Imaging



Mehak Aggarwal , Nishanth Arun , Sharut Gupta , Ashwin Vaswani , Bryan Chen , Matthew Li , Ken Chang , Jay Patel , Katherine Hoebel , Mishka Gidwani , Jayashree Kalpathy-Cramer , Praveer Singh

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* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 
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Federated Learning for Breast Density Classification: A Real-World Implementation



Holger R. Roth , Ken Chang , Praveer Singh , Nir Neumark , Wenqi Li , Vikash Gupta , Sharut Gupta , Liangqiong Qu , Alvin Ihsani , Bernardo C. Bizzo , Yuhong Wen , Varun Buch , Meesam Shah , Felipe Kitamura , Matheus Mendonça , Vitor Lavor , Ahmed Harouni , Colin Compas , Jesse Tetreault , Prerna Dogra , Yan Cheng , Selnur Erdal , Richard White , Behrooz Hashemian , Thomas Schultz , Miao Zhang , Adam McCarthy , B. Min Yun , Elshaimaa Sharaf , Katharina V. Hoebel , Jay B. Patel , Bryan Chen , Sean Ko , Evan Leibovitz , Etta D. Pisano , Laura Coombs , Daguang Xu , Keith J. Dreyer , Ittai Dayan , Ram C. Naidu , Mona Flores , Daniel Rubin , Jayashree Kalpathy-Cramer

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* Accepted at the 1st MICCAI Workshop on "Distributed And Collaborative Learning"; add citation to Fig. 1 & 2 and update Fig. 5 
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