Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation by G. Anthony Reina, Ravi Panchumarthy, Siddhesh Pravin Thakur, Alexei Bastidas, Spyridon Bakas, Spyridon Bakas, Spyridon Bakas

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Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions by Siddhesh P. Thakur, Siddhesh P. Thakur, Siddhesh P. Thakur, Matthew K. Schindler, Michel Bilello, Michel Bilello, Spyridon Bakas, Spyridon Bakas, Spyridon Bakas

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Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network by Jeffrey D. Rudie, Jeffrey D. Rudie, David A. Weiss, Rachit Saluja, Andreas M. Rauschecker, Jiancong Wang, Leo Sugrue, Spyridon Bakas, Spyridon Bakas, Spyridon Bakas, John B. Colby

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Within-Modality Synthesis and Novel Radiomic Evaluation of Brain MRI Scans by Seyed Masoud Rezaeijo, Nahid Chegeni, Fariborz Baghaei Naeini, Dimitrios Makris, Spyridon Bakas

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Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration by Ludovic Venet, Sarthak Pati, Michael D. Feldman, MacLean P. Nasrallah, Paul Yushkevich, Spyridon Bakas

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Artificial intelligence-based locoregional markers of brain peritumoral microenvironment by Zahra Riahi Samani, Drew Parker, Hamed Akbari, Ronald L. Wolf, Steven Brem, Spyridon Bakas, Ragini Verma

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Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches by Tahsin Kurc, Spyridon Bakas, Spyridon Bakas, Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang, Lichi Zhang, Ashish Kumar, Marc Thibault, Qi Qi, Qian Wang, Avinash Kori, Olivier Gevaert, Yunlong Zhang, Dinggang Shen, Dinggang Shen, Mahendra Khened, Xinghao Ding, Ganapathy Krishnamurthi, Jayashree Kalpathy-Cramer, James Davis, Tianhao Zhao, Rajarsi Gupta, Rajarsi Gupta, Joel Saltz, Keyvan Farahani

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Generative adversarial networks based skin lesion segmentation by Shubham Innani, Prasad Dutande, Ujjwal Baid, Venu Pokuri, Spyridon Bakas, Sanjay Talbar, Bhakti Baheti, Sharath Chandra Guntuku

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Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features by Anousheh Sayah, Camelia Bencheqroun, Krithika Bhuvaneshwar, Anas Belouali, Spyridon Bakas, Chiharu Sako, Christos Davatzikos, Adil Alaoui, Subha Madhavan, Yuriy Gusev

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Author Correction: Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features by Anousheh Sayah, Camelia Bencheqroun, Krithika Bhuvaneshwar, Anas Belouali, Spyridon Bakas, Chiharu Sako, Christos Davatzikos, Adil Alaoui, Subha Madhavan, Yuriy Gusev

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Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1 by Rhea Chitalia, Sarthak Pati, Megh Bhalerao, Siddhesh Pravin Thakur, Nariman Jahani, Vivian Belenky, Elizabeth S. McDonald, Jessica Gibbs, David C. Newitt, Nola M. Hylton, Despina Kontos, Spyridon Bakas

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Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine by Anahita Fathi Kazerooni, Stephen J. Bagley, Hamed Akbari, Sanjay Saxena, Sina Bagheri, Jun Guo, Sanjeev Chawla, Ali Nabavizadeh, Suyash Mohan, Spyridon Bakas, Christos Davatzikos, MacLean P. Nasrallah

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CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII by Burak Kocak, Bettina Baessler, Spyridon Bakas, Renato Cuocolo, Andrey Fedorov, Lena Maier-Hein, Nathaniel Mercaldo, Henning Müller, Fanny Orlhac, Daniel Pinto dos Santos, Arnaldo Stanzione, Lorenzo Ugga, Alex Zwanenburg

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Robust Image Population Based Stain Color Normalization: How Many Reference Slides Are Enough? by Jose L. Agraz, Caleb M. Grenko, Andrew A. Chen, Angela N. Viaene, MacLean D. Nasrallah, Sarthak Pati, Tahsin Kurc, Joel Saltz, Michael D. Feldman, Hamed Akbari, Parth Sharma, Russell T. Shinohara, Spyridon Bakas

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The future of digital health with federated learning by Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus Maier-Hein, Sébastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso

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A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information by Divya Ramakrishnan, Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki, Matthew Sala, Manpreet Kaur, Gabriel Cassinelli Petersen, Sara Merkaj, Marc von Reppert, Ujjwal Baid, Spyridon Bakas, Claudia Kirsch, Melissa Davis, Khaled Bousabarah, Wolfgang Holler, MingDe Lin, Malte Westerhoff, Sanjay Aneja, Fatima Memon, Mariam S. Aboian

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Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma by Anahita Fathi Kazerooni, Sanjay Saxena, Erik Toorens, Danni Tu, Vishnu Bashyam, Hamed Akbari, Elizabeth Mamourian, Chiharu Sako, Costas Koumenis, Ioannis Verginadis, Ragini Verma, Russell T. Shinohara, Arati S. Desai, Robert A. Lustig, Steven Brem, Suyash Mohan, Stephen J. Bagley, Tapan Ganguly, Donald M. O’Rourke, Spyridon Bakas, MacLean P. Nasrallah, Christos Davatzikos

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Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach by Jun Guo, Anahita Fathi Kazerooni, Erik Toorens, Hamed Akbari, Fanyang Yu, Chiharu Sako, Elizabeth Mamourian, Russell T. Shinohara, Constantinos Koumenis, Stephen J. Bagley, Jennifer J. D. Morrissette, Zev A. Binder, Steven Brem, Suyash Mohan, Robert A. Lustig, Donald M. O’Rourke, Tapan Ganguly, Spyridon Bakas, MacLean P. Nasrallah, Christos Davatzikos

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Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs by Dimitrios Bounias, Ashish Singh, Spyridon Bakas, Sarthak Pati, Saima Rathore, Hamed Akbari, Michel Bilello, Benjamin A. Greenberger, Joseph Lombardo, Rhea D. Chitalia, Nariman Jahani, Aimilia Gastounioti, Michelle Hershman, Leonid Roshkovan, Sharyn I. Katz, Bardia Yousefi, Carolyn Lou, Amber L. Simpson, Richard K. G. Do, Russell T. Shinohara, Despina Kontos, Konstantina Nikita, Christos Davatzikos

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The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics by Spyridon Bakas, Chiharu Sako, Hamed Akbari, Michel Bilello, Aristeidis Sotiras, Gaurav Shukla, Jeffrey D. Rudie, Natali Flores Santamaría, Anahita Fathi Kazerooni, Sarthak Pati, Saima Rathore, Elizabeth Mamourian, Sung Min Ha, William Parker, Jimit Doshi, Ujjwal Baid, Mark Bergman, Zev A. Binder, Ragini Verma, Robert A. Lustig, Arati S. Desai, Stephen J. Bagley, Zissimos Mourelatos, Jennifer Morrissette, Christopher D. Watt, Steven Brem, Ronald L. Wolf, Elias R. Melhem, MacLean P. Nasrallah, Suyash Mohan, Donald M. O’Rourke, Christos Davatzikos

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