Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation. - Aïcha BenTaieb; Hector Li-Chang; David G. Huntsman; Ghassan Hamarneh (MICCAI (1), 2015)

Multi-loss convolutional networks for gland analysis in microscopy. - Aïcha BenTaieb; Jeremy Kawahara; Ghassan Hamarneh (ISBI, 2016)

Deep features to classify skin lesions. - Jeremy Kawahara; Aïcha BenTaieb; Ghassan Hamarneh (ISBI, 2016)

Topology Aware Fully Convolutional Networks for Histology Gland Segmentation. - Aïcha BenTaieb; Ghassan Hamarneh (MICCAI (2), 2016)

Uncertainty Driven Multi-loss Fully Convolutional Networks for Histopathology. - Aïcha BenTaieb; Ghassan Hamarneh (CVII-STENT/LABELS@MICCAI, 2017)

A structured latent model for ovarian carcinoma subtyping from histopathology slides. - Aïcha BenTaieb; Hector Li-Chang; David G. Huntsman; Ghassan Hamarneh (Medical Image Anal., 2017)

Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. - Aïcha BenTaieb; Ghassan Hamarneh (MICCAI (2), 2018)

Deep Learning Based Image Reconstruction for Diffuse Optical Tomography. - Hanene Ben Yedder; Aïcha BenTaieb; Majid Shokoufi; Amir Zahiremami; Farid Golnaraghi; Ghassan Hamarneh (MLMIR@MICCAI, 2018)

Automatic localization of normal active organs in 3D PET scans. - Saeedeh Afshari; Aïcha BenTaieb; Ghassan Hamarneh (Comput. Medical Imaging Graph., 2018)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Sasa Grbic; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (CoRR, 2018)

Adversarial Stain Transfer for Histopathology Image Analysis. - Aïcha BenTaieb; Ghassan Hamarneh (IEEE Trans. Medical Imaging, 2018)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (MLMI@MICCAI, 2019)

Weakly supervised fully convolutional network for PET lesion segmentation. - Saeedeh Afshari; Aïcha BenTaieb; Zahra Mirikharaji; Ghassan Hamarneh (Image Processing, 2019)

Deep Learning Models for Digital Pathology. - Aïcha BenTaieb; Ghassan Hamarneh (CoRR, 2019)

AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides. - 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 (CoRR, 2022)

Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images. - 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 (CoRR, 2023)

Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images. - 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; et al. (CoRR, 2023)