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Aïcha Bentaieb
Aïcha Bentaieb
Principal AI Scientist, Genentech
Bestätigte E-Mail-Adresse bei gene.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep features to classify skin lesions
J Kawahara, A BenTaieb, G Hamarneh
2016 IEEE 13th international symposium on biomedical imaging (ISBI), 1397-1400, 2016
3602016
Adversarial stain transfer for histopathology image analysis
A BenTaieb, G Hamarneh
IEEE transactions on medical imaging 37 (3), 792-802, 2017
2092017
Topology aware fully convolutional networks for histology gland segmentation
A BenTaieb, G Hamarneh
International conference on medical image computing and computer-assisted …, 2016
1822016
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
602021
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
572018
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
492017
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
452018
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
422016
Uncertainty driven multi-loss fully convolutional networks for histopathology
A BenTaieb, G Hamarneh
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017
302017
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
272018
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
262019
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
202015
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
182022
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
182019
Deep learning models for digital pathology
A BenTaieb, G Hamarneh
arXiv preprint arXiv:1910.12329, 2019
152019
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
142016
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
62022
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
12022
Prediction of MET Overexpression in Lung Adenocarcinoma from Hematoxylin and Eosin Images
K Ingale, SH Hong, JSK Bell, A Rizvi, A Welch, L Sha, I Ho, K Nagpal, ...
The American Journal of Pathology, 2024
2024
On the Consistency of GNN Explainability Methods
E Hajiramezanali, S Maleki, A Tseng, A BenTaieb, G Scalia, T Biancalani
XAI in Action: Past, Present, and Future Applications, 2023
2023
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