Adam E. Flanders

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 9

Top Topics

Brain Tumor Segmentation

Grand Challenge

Top Venues

J. Digit. Imaging

Publications

Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball, Sabeena Jalal, Luciano M. Prevedello, Savvas Nicolaou, Brett S. Marinelli, Adam E. Flanders, Kirti Magudia, George Shih, Melissa A. Davis, John Mongan, Peter D. Chang, Ferco H. Berger, Sebastiaan Hermans, Meng Law, Tyler Richards, Jan-Peter Grunz, Andreas Steven Kunz, Shobhit Mathur, Sandro Galea-Soler, Andrew D. Chung, Saif Afat, Chin-Chi Kuo, Layal Aweidah, Ana Villanueva Campos, Arjuna Somasundaram, Felipe Antonio Sanchez Tijmes, Attaporn Jantarangkoon, Leonardo Kayat Bittencourt, Michael Brassil, Ayoub El Hajjami, Hakan Dogan, Muris Becircic, Agrahara G. Bharatkumar, Eduardo Moreno Júdice de Mattos Farina, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Group, Errol Colak
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset. CoRR (2024)
Yiliang Zhou, Hanley Ong, Patrick Kennedy, Carol C. Wu, Jacob Kazam, Keith Hentel, Adam E. Flanders, George Shih, Yifan Peng
Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs. CoRR (2024)
Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Devon Godfrey, Fathi Hilal, Ariana Familiar, Keyvan Farahani, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Anahita Fathi Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Koen Van Leemput, Hongwei Bran Li, Xinyang Liu, Aria Mahtabfar, Shan McBurney-Lin, Ryan McLean, Zeke Meier, Ahmed W. Moawad, John Mongan, Pierre Nedelec, Maxence Pajot, Marie Piraud, Arif Rashid, Zachary Reitman, Russell Takeshi Shinohara, Yury Velichko, Chunhao Wang, Pranav I. Warman, Walter I. Wiggins, Mariam Aboian, Jake Albrecht, Udunna Anazodo, Spyridon Bakas, Adam E. Flanders, Anastasia Janas, Goldey Khanna, Marius George Linguraru, Bjoern H. Menze, Ayman Nada, Andreas M. Rauschecker, Jeffrey D. Rudie, Nourel Hoda Tahon, Javier E. Villanueva-Meyer, Benedikt Wiestler, Evan Calabrese
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. CoRR (2023)
David A. Clunie, Adam E. Flanders, Adam Taylor, Bradley James Erickson, Brian Bialecki, David Brundage, David Gutman, Fred W. Prior, J. Anthony Seibert, John H. Perry, Judy Wawira Gichoya, Justin S. Kirby, Katherine P. Andriole, Luke Geneslaw, Steve Moore, TJ Fitzgerald, Wyatt M. Tellis, Ying Xiao
Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations. CoRR (2023)
Ujjwal Baid, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, Sarthak Pati, Luciano M. Prevedello, Jeffrey D. Rudie, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Bjoern H. Menze, Adam E. Flanders, Spyridon Bakas
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. CoRR (2021)
Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello, Sung Min Ha, Gaurav Shukla, Adam E. Flanders, Aikaterini Kotrotsou, Mikhail Milchenko, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Pamela LaMontagne, Arash Nazeri, Sanjay N. Talbar, Spyridon Bakas
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. NeuroImage 220 (2020)
Varun Singh, Varun Danda, Richard J. T. Gorniak, Adam E. Flanders, Paras Lakhani
Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning. J. Digit. Imaging 32 (4) (2019)
Mahdi Alizadeh, Pallav Shah, Chris J. Conklin, Devon M. Middleton, Sona Saksena, Adam E. Flanders, Laura Krisa, MJ Mulcahey, Scott Faro, Feroze B. Mohamed
Application of Color Transformation Techniques in Pediatric Spinal Cord MR Images: Typically Developing and Spinal Cord Injury Population. J. Digit. Imaging 31 (4) (2018)
Vishal Desai, Adam E. Flanders, Paras Lakhani
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks. CoRR (2017)
David Surrey, Richard E. Sharpe Jr., Richard J. T. Gorniak, Levon Nazarian, Vijay M. Rao, Adam E. Flanders
QRSE: a Novel Metric for the Evaluation of Trainee Radiologist Reporting Skills. J. Digit. Imaging 26 (4) (2013)
Richard E. Sharpe Jr., David Surrey, Richard J. T. Gorniak, Levon Nazarian, Vijay M. Rao, Adam E. Flanders
Radiology Report Comparator: A Novel Method to Augment Resident Education. J. Digit. Imaging 25 (3) (2012)
Daniel L. Rubin, Adam E. Flanders, Woojin Kim, Khan M. Siddiqui, Charles E. Kahn
Ontology-Assisted Analysis of Web Queries to Determine the Knowledge Radiologists Seek. J. Digit. Imaging 24 (1) (2011)
Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Sharath R. Cholleti, Tony C. Pan, Patrick M. Widener, Ashish Sharma, Tom Mikkelsen, Adam E. Flanders, Daniel L. Rubin, Erwin G. Van Meir, Tahsin M. Kurç, Carlos S. Moreno, Daniel J. Brat, Joel H. Saltz
An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 57 (10) (2010)
Joseph Tracy, Adam E. Flanders, Saaussan Madi, Peter Natale, Nicole Delvecchio, Ayis Pyrros, Joseph Laskas
The Brain's Response to Incidental Intruded Words during Focal Text Processing. NeuroImage 18 (1) (2003)