Aïcha BenTaieb

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 16

Top Topics

Top Venues

Publications

Kshitij Ingale, Sun Hae Hong, Josh S. K. Bell, Abbas A. Rizvi, Amy Welch, Lingdao Sha, Irvin Ho, Kunal Nagpal, Aïcha BenTaieb, Rohan P. Joshi, Martin C. Stumpe
Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images. CoRR (2023)
Qiyuan Hu, Abbas A. Rizvi, Geoffery Schau, Kshitij Ingale, Yoni Muller, Rachel Baits, Sebastian Pretzer, Aïcha BenTaieb, Abigail Gordhamer, Roberto Nussenzveig, Adam Cole, Matthew O. Leavitt, Rohan P. Joshi, Nike Beaubier, Martin C. Stumpe, Kunal Nagpal
Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images. CoRR (2023)
Boleslaw L. Osinski, Aïcha BenTaieb, Irvin Ho, Ryan D. Jones, Rohan P. Joshi, Andrew Westley, Michael Carlson, Caleb Willis, Luke Schleicher, Brett M. Mahon, Martin C. Stumpe
AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides. CoRR (2022)
Saeedeh Afshari, Aïcha BenTaieb, Zahra Mirikharaji, Ghassan Hamarneh
Weakly supervised fully convolutional network for PET lesion segmentation. Medical Imaging: Image Processing (2019)
Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI (2019)
Aïcha BenTaieb, Ghassan Hamarneh
Deep Learning Models for Digital Pathology. CoRR (2019)
Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR (2018)
Aïcha BenTaieb, Ghassan Hamarneh
Adversarial Stain Transfer for Histopathology Image Analysis. IEEE Trans. Medical Imaging 37 (3) (2018)
Saeedeh Afshari, Aïcha BenTaieb, Ghassan Hamarneh
Automatic localization of normal active organs in 3D PET scans. Comput. Medical Imaging Graph. 70 (2018)
Aïcha BenTaieb, Ghassan Hamarneh
Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. MICCAI (2) (2018)
Hanene Ben Yedder, Aïcha BenTaieb, Majid Shokoufi, Amir Zahiremami, Farid Golnaraghi, Ghassan Hamarneh
Deep Learning Based Image Reconstruction for Diffuse Optical Tomography. MLMIR@MICCAI (2018)
Aïcha BenTaieb, Hector Li-Chang, David G. Huntsman, Ghassan Hamarneh
A structured latent model for ovarian carcinoma subtyping from histopathology slides. Medical Image Anal. 39 (2017)
Aïcha BenTaieb, Ghassan Hamarneh
Uncertainty Driven Multi-loss Fully Convolutional Networks for Histopathology. CVII-STENT/LABELS@MICCAI (2017)
Aïcha BenTaieb, Jeremy Kawahara, Ghassan Hamarneh
Multi-loss convolutional networks for gland analysis in microscopy. ISBI (2016)
Jeremy Kawahara, Aïcha BenTaieb, Ghassan Hamarneh
Deep features to classify skin lesions. ISBI (2016)
Aïcha BenTaieb, Ghassan Hamarneh
Topology Aware Fully Convolutional Networks for Histology Gland Segmentation. MICCAI (2) (2016)
Aïcha BenTaieb, Hector Li-Chang, David G. Huntsman, Ghassan Hamarneh
Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation. MICCAI (1) (2015)