| Deep features to classify skin lesions J Kawahara, A BenTaieb, G Hamarneh 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 1397-1400, 2016 | 385 | 2016 |
| Adversarial stain transfer for histopathology image analysis A BenTaieb, G Hamarneh IEEE transactions on medical imaging 37 (3), 792-802, 2017 | 227 | 2017 |
| Topology aware fully convolutional networks for histology gland segmentation A BenTaieb, G Hamarneh International conference on medical image computing and computer-assisted …, 2016 | 187 | 2016 |
| A pan-cancer organoid platform for precision medicine BM Larsen, M Kannan, LF Langer, BD Leibowitz, A Bentaieb, A Cancino, ... Cell reports 36 (4), 2021 | 76 | 2021 |
| Predicting cancer with a recurrent visual attention model for histopathology images A BenTaieb, G Hamarneh Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 63 | 2018 |
| A structured latent model for ovarian carcinoma subtyping from histopathology slides A BenTaieb, H Li-Chang, D Huntsman, G Hamarneh Medical image analysis 39, 194-205, 2017 | 62 | 2017 |
| Deep learning based image reconstruction for diffuse optical tomography H Ben Yedder, A BenTaieb, M Shokoufi, A Zahiremami, F Golnaraghi, ... Machine Learning for Medical Image Reconstruction: First International …, 2018 | 51 | 2018 |
| Multi-loss convolutional networks for gland analysis in microscopy A BenTaieb, J Kawahara, G Hamarneh 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 642-645, 2016 | 45 | 2016 |
| Uncertainty driven multi-loss fully convolutional networks for histopathology A BenTaieb, G Hamarneh Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017 | 30 | 2017 |
| Automatic localization of normal active organs in 3D PET scans S Afshari, A BenTaieb, G Hamarneh Computerized Medical Imaging and Graphics 70, 111-118, 2018 | 29 | 2018 |
| Select, attend, and transfer: Light, learnable skip connections SA Taghanaki, A Bentaieb, A Sharma, SK Zhou, Y Zheng, B Georgescu, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 27 | 2019 |
| Integration of tumor extrinsic and intrinsic features associates with immunotherapy response in non-small cell lung cancer D Lau, S Khare, MM Stein, P Jain, Y Gao, A BenTaieb, TA Rand, ... Nature communications 13 (1), 4053, 2022 | 23 | 2022 |
| Automatic diagnosis of ovarian carcinomas via sparse multiresolution tissue representation A BenTaieb, H Li-Chang, D Huntsman, G Hamarneh Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 22 | 2015 |
| Weakly supervised fully convolutional network for PET lesion segmentation S Afshari, A BenTaieb, Z Mirikharaji, G Hamarneh Medical imaging 2019: image Processing 10949, 394-400, 2019 | 20 | 2019 |
| Deep learning models for digital pathology A BenTaieb, G Hamarneh arXiv preprint arXiv:1910.12329, 2019 | 18 | 2019 |
| Clinically-inspired automatic classification of ovarian carcinoma subtypes A BenTaieb, MS Nosrati, H Li-Chang, D Huntsman, G Hamarneh Journal of pathology informatics 7 (1), 28, 2016 | 18 | 2016 |
| Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides BL Osinski, A BenTaieb, I Ho, RD Jones, RP Joshi, A Westley, M Carlson, ... Modern Pathology 35 (12), 1791-1803, 2022 | 9 | 2022 |
| Development and validation of a deep learning-based microsatellite instability predictor from prostate cancer whole-slide images Q Hu, AA Rizvi, G Schau, K Ingale, Y Muller, R Baits, S Pretzer, ... NPJ Precision Oncology 8 (1), 88, 2024 | 4 | 2024 |
| Effects of color calibration via icc profile on inter-scanner generalization of ai models K Ingale, R Joshi, I Ho, A BenTaieb, M Stumpe LABORATORY INVESTIGATION 102 (SUPPL 1), 1076-1077, 2022 | 4 | 2022 |
| Systems and methods for generating histology image training datasets for machine learning models A Bentaieb, MC Stumpe, AA Khan US Patent 11,727,674, 2023 | 3 | 2023 |
Ghassan HamarnehComputing Science, Simon Fraser UniversityVerified email at sfu.ca
