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Saima Rathore

Showing results (11-20 of 46) with videos related to

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Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|July 21, 2017
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative FrameworkKe Zeng, Spyridon Bakas, Aristeidis Sotiras, et al.
Cancers|August 12, 2023
Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future ProspectsAhmad Chaddad, Guina Tan, Xiaojuan Liang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 14, 2018
Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planningSaima Rathore, Hamed Akbari, Jimit Doshi, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|July 21, 2017
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma SegmentationSpyridon Bakas, Ke Zeng, Aristeidis Sotiras, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 22, 2017
<i>In Vivo</i> Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The <i>φ</i>-IndexSpyridon Bakas, Hamed Akbari, Jared Pisapia, et al.
Magnetic Resonance Imaging|May 10, 2019
Precision diagnostics based on machine learning-derived imaging signaturesChristos Davatzikos, Aristeidis Sotiras, Yong Fan, et al.
Alzheimer'S & Dementia (New York, N. Y.)|January 3, 2025
Predicting regional tau accumulation with machine learning-based tau-PET and advanced radiomicsSaima Rathore, Ixavier A Higgins, Jian Wang, et al.
Cancer Biomarkers : Section a of Disease Markers|December 12, 2017
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategiesLal Hussain, Adeel Ahmed, Sharjil Saeed, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|May 8, 2018
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of GlioblastomaSaima Rathore, Spyridon Bakas, Sarthak Pati, et al.
Alzheimer'S Research & Therapy|October 7, 2025
Regional tau PET patterns predict prospective domain-specific cognitive decline in early symptomatic Alzheimer's diseaseMaura Malpetti, Saima Rathore, Leonardo Iaccarino, et al.
Pageof 5

Showing results (11-20 of 46) with videos related to

Sort By:
Pageof 5
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|July 21, 2017
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative FrameworkKe Zeng, Spyridon Bakas, Aristeidis Sotiras, et al.
Cancers|August 12, 2023
Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future ProspectsAhmad Chaddad, Guina Tan, Xiaojuan Liang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 14, 2018
Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planningSaima Rathore, Hamed Akbari, Jimit Doshi, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|July 21, 2017
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma SegmentationSpyridon Bakas, Ke Zeng, Aristeidis Sotiras, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|April 22, 2017
<i>In Vivo</i> Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The <i>φ</i>-IndexSpyridon Bakas, Hamed Akbari, Jared Pisapia, et al.
Magnetic Resonance Imaging|May 10, 2019
Precision diagnostics based on machine learning-derived imaging signaturesChristos Davatzikos, Aristeidis Sotiras, Yong Fan, et al.
Alzheimer'S & Dementia (New York, N. Y.)|January 3, 2025
Predicting regional tau accumulation with machine learning-based tau-PET and advanced radiomicsSaima Rathore, Ixavier A Higgins, Jian Wang, et al.
Cancer Biomarkers : Section a of Disease Markers|December 12, 2017
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategiesLal Hussain, Adeel Ahmed, Sharjil Saeed, et al.
Brainlesion : Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Brainles (Workshop)|May 8, 2018
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of GlioblastomaSaima Rathore, Spyridon Bakas, Sarthak Pati, et al.
Alzheimer'S Research & Therapy|October 7, 2025
Regional tau PET patterns predict prospective domain-specific cognitive decline in early symptomatic Alzheimer's diseaseMaura Malpetti, Saima Rathore, Leonardo Iaccarino, et al.
Pageof 5