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Barbaros S. Erdal
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2020 – today
- 2024
- [i14]K. Yeh, M. S. Jabal, V. Gupta, David F. Kallmes, Waleed Brinjikji, Barbaros S. Erdal:
Transformer-Based Self-Supervised Learning for Histopathological Classification of Ischemic Stroke Clot Origin. CoRR abs/2405.00908 (2024) - 2023
- [c10]Conrad T. Testagrose
, Vikash Gupta
, Barbaros S. Erdal
, Richard D. White
, Robert W. Maxwell
, Xudong Liu
, Indika Kahanda
, Sherif Elfayoumy
, William Klostermeyer
, Mutlu Demirer
:
Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. BCB 2023: 25:1-25:6 - [i13]Barbaros Selnur Erdal, Vikash Gupta, Mutlu Demirer, Kim H. Fair, Richard D. White, Jeff Blair, Barbara Deichert, Laurie Lafleur, Ming Melvin Qin, David Bericat, Brad W. Genereaux:
Integration and Implementation Strategies for AI Algorithm Deployment with Smart Routing Rules and Workflow Management. CoRR abs/2311.10840 (2023) - [i12]M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister:
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR abs/2311.14570 (2023) - 2022
- [c9]Conrad Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda
, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer:
Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. BIBM 2022: 3399-3406 - [i11]Vikash Gupta, Mutlu Demirer, Robert W. Maxwell, Richard D. White, Barbaros Selnur Erdal:
A multi-reconstruction study of breast density estimation using Deep Learning. CoRR abs/2202.08238 (2022) - [i10]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko
, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang
, Yiwen Li
, Yipeng Hu, Yunguan Fu
, Benjamin Gorman, Hans J. Johnson
, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby
, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward
, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - [i9]Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2021
- [j7]Richard D. White
, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Engin Dikici, Sema Candemir
, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O'Donnell, Abdul H. Halabi, Luciano M. Prevedello
:
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use. J. Digit. Imaging 34(3): 554-571 (2021) - [c8]Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello
, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal:
Deep Learning Based Automatic Detection of Adequately Positioned Mammograms. DART/FAIR@MICCAI 2021: 239-250 - [i8]Mutlu Demirer, Richard D. White, Vikash Gupta, Ronnie A. Sebro, Barbaros S. Erdal:
Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest. CoRR abs/2108.11954 (2021) - 2020
- [j6]Sema Candemir
, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello
, Barbaros S. Erdal:
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network. Comput. Medical Imaging Graph. 83: 101721 (2020) - [j5]Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little
, Sema Candemir
, Luciano M. Prevedello
, Richard D. White, Thomas P. O'Donnell, Michael Wels, Barbaros S. Erdal
:
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning. J. Digit. Imaging 33(2): 431-438 (2020) - [j4]Engin Dikici
, John L. Ryu
, Mutlu Demirer
, Matthew T. Bigelow
, Richard D. White
, Wayne Slone, Barbaros Selnur Erdal
, Luciano M. Prevedello
:
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI. IEEE J. Biomed. Health Informatics 24(10): 2883-2893 (2020) - [c7]Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Sarah M. Yu, Joseph S. Yu, Luciano M. Prevedello
, Richard D. White, Barbaros S. Erdal:
Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs. ISBI 2020: 1526-1529 - [c6]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 D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria 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 L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI 2020: 181-191 - [i7]Sema Candemir, Xuan V. Nguyen, Luciano M. Prevedello, Matthew T. Bigelow, Richard D. White, Barbaros S. Erdal:
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis. CoRR abs/2002.10034 (2020) - [i6]Richard D. White, Barbaros S. Erdal, Mutlu Demirer, Vikash Gupta
, Matthew T. Bigelow, Engin Dikici, Sema Candemir, Mauricio S. Galizia, Jessica L. Carpenter, Thomas P. O'Donnell, Abdul H. Halabi, Luciano M. Prevedello:
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-World Use. CoRR abs/2008.04802 (2020) - [i5]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 D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria 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 L. Rubin, Jayashree Kalpathy-Cramer:
Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR abs/2009.01871 (2020) - [i4]Vikash Gupta
, Holger Roth, Varun Buch, Marcio Aloisio Bezerra Cavalcanti Rockenbach
, Richard D. White, Dong Yang, Olga Laur, Brian B. Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal:
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR abs/2009.12437 (2020) - [i3]Vikash Gupta, Clayton Taylor, Sarah Bonnet, Luciano M. Prevedello, Jeffrey Hawley, Richard D. White, Mona G. Flores, Barbaros Selnur Erdal:
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application. CoRR abs/2009.13580 (2020)
2010 – 2019
- 2019
- [i2]Barbaros S. Erdal, Mutlu Demirer, Chiemezie C. Amadi, Gehan F. M. Ibrahim, Thomas P. O'Donnell, Rainer Grimmer, Andreas Wimmer, Kevin J. Little, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Richard D. White:
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters? CoRR abs/1908.05667 (2019) - [i1]Sema Candemir, Richard D. White, Mutlu Demirer, Vikash Gupta, Matthew T. Bigelow, Luciano M. Prevedello, Barbaros S. Erdal:
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks. CoRR abs/1911.13219 (2019) - 2018
- [j3]Barbaros S. Erdal, Luciano M. Prevedello
, Songyue Qian, Mutlu Demirer, Kevin J. Little
, John Ryu, Thomas O'Donnell, Richard D. White:
Radiology and Enterprise Medical Imaging Extensions (REMIX). J. Digit. Imaging 31(1): 91-106 (2018) - 2012
- [c5]Jingchun Chen, Pushkaraj Koyalkar, Brian Myers, Chen Ma, Vladimir Bubelev, Selnur Erdal, Jing Ding, Jyoti Kamal:
Dimensional Modeling at OSUWMC Information Warehouse Helped Pharmacists Track Activity and Inventory. AMIA 2012
2000 – 2009
- 2009
- [j2]Selnur Erdal, Ümit V. Çatalyürek
, Philip R. O. Payne
, Joel H. Saltz, Jyoti Kamal, Metin N. Gurcan
:
A Knowledge-Anchored Integrative Image Search and Retrieval System. J. Digit. Imaging 22(2): 166-182 (2009) - [c4]Jianhua Liu, Selnur Erdal, Scott A. Silvey, Jing Ding, John D. Riedel, Clay B. Marsh, Jyoti Kamal:
Toward a Fully De-identified Biomedical Information Warehouse. AMIA 2009 - 2007
- [c3]Fatih Altiparmak, Selnur Erdal, Ozgur Ozturk, Hakan Ferhatosmanoglu:
A Multi-metric Similarity Based Analysis of Microarray Data. BIBM 2007: 317-324 - 2006
- [j1]Fatih Altiparmak, Hakan Ferhatosmanoglu, Selnur Erdal, Donald C. Trost:
Information Mining Over Heterogeneous and High-Dimensional Time-Series Data in Clinical Trials Databases. IEEE Trans. Inf. Technol. Biomed. 10(2): 254-263 (2006) - [c2]Selnur Erdal, Jyoti Kamal:
An Indexing Scheme for Medical Free Text Searches: A Prototype. AMIA 2006 - 2004
- [c1]Selnur Erdal, Ozgur Ozturk, David L. Armbruster, Hakan Ferhatosmanoglu, William C. Ray:
A Time Series Analysis of Microarray Data. BIBE 2004: 366-378
Coauthor Index
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last updated on 2024-06-10 21:21 CEST by the dblp team
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