Hassan M. Fathallah-Shaykh

According to our database, Hassan M. Fathallah-Shaykh authored at least 23 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).

Hongwei Bran Li, Gian Marco Conte, Syed Muhammad Anwar, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler

CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.

Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Özgün Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze

CoRR, 2023

EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models.

Ian E. Nielsen, Ravi Prakash Ramachandran, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Ghulam Rasool

IEEE Access, 2023

2022

Deep Learning for Audio Visual Emotion Recognition.

Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks.

Dimah Dera, Nidhal Carla Bouaynaya, Ghulam Rasool, Roman Shterenberg, Hassan M. Fathallah-Shaykh

IEEE Trans. Signal Process., 2021

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 S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam 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, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

CoRR, 2021

Trustworthy Medical Segmentation with Uncertainty Estimation.

Giuseppina Carannante, Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Hassan M. Fathallah-Shaykh

CoRR, 2021

Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation.

Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

CoRR, 2021

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

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 A. 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

CoRR, 2021

The Federated Tumor Segmentation (FeTS) Challenge.

Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, 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, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas

CoRR, 2021

2019

Inception Modules Enhance Brain Tumor Segmentation.

Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

Frontiers Comput. Neurosci., 2019

2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.

CoRR, 2018

Inverted Cone Convolutional Neural Network For Deboning MRIs.

Oliver Palumbo, Dimah Dera, Nidhal C. Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks.

Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C. Bouaynaya, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

The AKRON-Kalman filter for tracking time-varying networks.

Victor Carluccio, Nidhal Bouaynaya, Gregory Ditzler, Hassan M. Fathallah-Shaykh

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge.

Dimah Dera, Fabio Raman, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Non-negative matrix factorization for non-parametric and unsupervised image clustering and segmentation.

Dimah Dera, Nidhal Bouaynaya, Robi Polikar, Hassan M. Fathallah-Shaykh

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Level set segmentation using non-negative matrix factorization of brain MRI images.

Dimah Dera, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Proper orthogonal decomposition for parameter estimation in oscillating biological networks.

Amanda M. Rehm, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh

J. Comput. Appl. Math., 2014

Tracking of time-varying genomic regulatory networks with a LASSO-Kalman smoother.

Jehandad Khan, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

EURASIP J. Bioinform. Syst. Biol., 2014

2013

Compressive Kalman filtering for recovering temporally-rewiring genetic networks.

Jehandad Khan, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Inference of genetic regulatory networks using regularized likelihood with covariance estimation.

Ghulam Rasool, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Dan Schonfeld

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2005

Noise and rank-dependent geometrical filter improves sensitivity of highly specific discovery by microarrays.

Hassan M. Fathallah-Shaykh

Bioinform., 2005