| A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages S Rathore, M Habes, MA Iftikhar, A Shacklett, C Davatzikos NeuroImage 155, 530-548, 2017 | 615 | 2017 |
| Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ... Journal of medical imaging 5 (1), 011018-011018, 2018 | 199 | 2018 |
| Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1 S Rathore, H Akbari, M Rozycki, KG Abdullah, MLP Nasrallah, ZA Binder, ... Scientific reports 8 (1), 5087, 2018 | 171 | 2018 |
| Epidermal growth factor receptor extracellular domain mutations in glioblastoma present opportunities for clinical imaging and therapeutic development ZA Binder, AH Thorne, S Bakas, EP Wileyto, M Bilello, H Akbari, ... Cancer cell 34 (1), 163-177. e7, 2018 | 163 | 2018 |
| Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning S Rathore, H Akbari, J Doshi, G Shukla, M Rozycki, M Bilello, R Lustig, ... Journal of medical imaging 5 (2), 021219-021219, 2018 | 135 | 2018 |
| A recent survey on colon cancer detection techniques S Rathore, M Hussain, A Ali, A Khan IEEE/ACM Transactions on computational biology and bioinformatics 10 (3 …, 2013 | 118 | 2013 |
| GLISTRboost: combining multimodal MRI segmentation, registration, and biophysical tumor growth modeling with gradient boosting machines for glioma segmentation S Bakas, K Zeng, A Sotiras, S Rathore, H Akbari, B Gaonkar, M Rozycki, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016 | 114 | 2016 |
| Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies L Hussain, A Ahmed, S Saeed, S Rathore, IA Awan, SA Shah, A Majid, ... Cancer Biomarkers 21 (2), 393-413, 2018 | 98 | 2018 |
| In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The ϕ-Index S Bakas, H Akbari, J Pisapia, M Martinez-Lage, M Rozycki, S Rathore, ... Clinical Cancer Research 23 (16), 4724-4734, 2017 | 94 | 2017 |
| Automated colon cancer detection using hybrid of novel geometric features and some traditional features S Rathore, M Hussain, A Khan Computers in biology and medicine 65, 279-296, 2015 | 93 | 2015 |
| Ensemble classification of colon biopsy images based on information rich hybrid features S Rathore, M Hussain, MA Iftikhar, A Jalil Computers in biology and medicine 47, 76-92, 2014 | 85 | 2014 |
| Visual object tracking—classical and contemporary approaches A Ali, A Jalil, J Niu, X Zhao, S Rathore, J Ahmed, M Aksam Iftikhar Frontiers of Computer Science 10, 167-188, 2016 | 80 | 2016 |
| Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma H Akbari, S Rathore, S Bakas, MLP Nasrallah, G Shukla, E Mamourian, ... Cancer, 2020 | 79 | 2020 |
| Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training S Thakur, J Doshi, S Pati, S Rathore, C Sako, M Bilello, SM Ha, G Shukla, ... Neuroimage 220, 117081, 2020 | 72 | 2020 |
| The cancer imaging phenomics toolkit (CaPTk): technical overview S Pati, A Singh, S Rathore, A Gastounioti, M Bergman, P Ngo, SM Ha, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 71 | 2020 |
| Automated breast cancer detection using machine learning techniques by extracting different feature extracting strategies L Hussain, W Aziz, S Saeed, S Rathore, M Rafique 2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018 | 69 | 2018 |
| A multi-modal, multi-atlas based approach for Alzheimer detection via machine learning YABRAKMSRLHMA Iftikhar International Journal of Imaging Systems and Technology, 2018 | 63 | 2018 |
| Glioma grading via analysis of digital pathology images using machine learning S Rathore, T Niazi, MA Iftikhar, A Chaddad Cancers 12 (3), 578, 2020 | 61 | 2020 |
| Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma CD Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 61* | 2018 |
| The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics S Bakas, C Sako, H Akbari, M Bilello, A Sotiras, G Shukla, JD Rudie, ... Scientific data 9 (1), 453, 2022 | 55 | 2022 |
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIVerified email at pennmedicine.upenn.edu
