Hassan Fathallah-Shaykh
University of Alabama at Birmingham
H-index: 26
North America-United States
Top articles of Hassan Fathallah-Shaykh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
The brain tumor segmentation (BraTS) challenge 2023: Brain MR image synthesis for tumor segmentation (BraSyn) | ArXiv | Anahita Fathi Kazerooni Nastaran Khalili Xinyang Liu Debanjan Haldar Zhifan Jiang | 2023/5/26 |
Evaluation of RANO criteria for the assessment of tumor progression for lower-grade gliomas | Cancers | Fabio Raman Alexander Mullen Matthew Byrd Sejong Bae Jinsuh Kim | 2023/6/21 |
EvalAttAI: a holistic approach to evaluating attribution maps in robust and non-robust models | IEEE Access | Ian E Nielsen Ravi P Ramachandran Nidhal Bouaynaya Hassan M Fathallah-Shaykh Ghulam Rasool | 2023/7/31 |
Method for detecting radiological progression in cancer surveillance | 2022/6/2 | ||
A method for uncertainty estimation in deep neural networks | 2022/11/17 | ||
QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results | The journal of machine learning for biomedical imaging | Raghav Mehta Angelos Filos Ujjwal Baid Chiharu Sako Richard McKinley | 2022/8 |
Deep learning for audio visual emotion recognition | T Hussain WENWU Wang N Bouaynaya H Fathallah-Shaykh L Mihaylova | 2022/7/4 | |
Brain tumor segmentation and surveillance with deep artificial neural networks | Asim Waqas Dimah Dera Ghulam Rasool Nidhal Carla Bouaynaya Hassan M Fathallah-Shaykh | 2021 | |
PremiUm-CNN: Propagating uncertainty towards robust convolutional neural networks | IEEE Transactions on Signal Processing | Dimah Dera Nidhal Carla Bouaynaya Ghulam Rasool Roman Shterenberg Hassan M Fathallah-Shaykh | 2021/7/14 |
The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification | arXiv preprint arXiv:2107.02314 | Ujjwal Baid Satyam Ghodasara Suyash Mohan Michel Bilello Evan Calabrese | 2021/7/5 |
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks | arXiv preprint arXiv:2111.05978 | Giuseppina Carannante Dimah Dera Nidhal C Bouaynaya Hassan M Fathallah-Shaykh Ghulam Rasool | 2021/11/10 |
The federated tumor segmentation (fets) challenge | arXiv preprint arXiv:2105.05874 | Sarthak Pati Ujjwal Baid Maximilian Zenk Brandon Edwards Micah Sheller | 2021/5/12 |
NIMG-39. RADIOMIC ANALYSIS FOR NON-INVASIVE IN VIVO PROGNOSTIC STRATIFICATION OF DE NOVO GLIOBLASTOMA PATIENTS: A MULTI-INSTITUTIONAL EVALUATION FOR GENERALIZABILITY IN THE … | Neuro-Oncology | Hamed Akbari* Spyridon Bakas* Chiharu Sako* Anahita Fathi Kazerooni Jose A Garcia | 2021/11/2 |
Trustworthy medical segmentation with uncertainty estimation | Giuseppina Carannante Dimah Dera Nidhal C Bouaynaya Rasool Ghulam Hassan M Fathallah-Shaykh | 2021 | |
NIMG-22. Prediction of glioblastoma cellular infiltration and recurrence using machine learning and multi-parametric mri analysis: results from the multi-institutional respond … | Neuro-Oncology | Hamed Akbari Suyash Mohan Jose A Garcia Anahita Fathi Kazerooni Chiharu Sako | 2021/11/2 |
Reliable Semantic Segmentation through Uncertainty Propagation | Giuseppina Carannante Nidhal C Bouaynaya Hassan M Fathallah-Shaykh | 2021 | |
Dilated inception U-net (DIU-net) for brain tumor segmentation | arXiv preprint arXiv:2108.06772 | Daniel E Cahall Ghulam Rasool Nidhal C Bouaynaya Hassan M Fathallah-Shaykh | 2021/8/15 |
NKX3. 1 Identifies Prostatic Origin of Dural Metastasis in the Setting of Negative Prostate-Specific Antigen Stain | The Neurohospitalist | Jeffrey Z Shen Adeel A Memon James R Hackney Houman Sotoudeh Hassan Fathallah-Shaykh | 2020/10 |
MICCAI Brain Tumor Segmentation (BraTS) 2020 Benchmark:" Prediction of Survival and Pseudoprogression" | Spyridon Bakas Bjoern Menze Christos Davatzikos Jayashree Kalpathy-Cramer Keyvan Farahani | 2020/3/20 |
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