Aïcha BenTaieb

18 papers B 1Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine. CoRR Michael S. Yao, Osbert Bastani, Alma Andersson, Tommaso Biancalani, Aïcha BenTaieb, Claudia Iriondo
2023	J	`jnl`	Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images. CoRR 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
2023	J	`jnl`	Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images. CoRR 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
2022	J	`jnl`	AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides. CoRR 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
2019	J	`jnl`	Deep Learning Models for Digital Pathology. CoRR Aïcha BenTaieb, Ghassan Hamarneh
2019	—	`conf`	Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
2019	B	`conf`	Weakly supervised fully convolutional network for PET lesion segmentation. Image Processing Saeedeh Afshari, Aïcha BenTaieb, Zahra Mirikharaji, Ghassan Hamarneh
2018	J	`jnl`	Adversarial Stain Transfer for Histopathology Image Analysis. IEEE Trans. Medical Imaging Aïcha BenTaieb, Ghassan Hamarneh
2018	J	`jnl`	Automatic localization of normal active organs in 3D PET scans. Comput. Medical Imaging Graph. Saeedeh Afshari, Aïcha BenTaieb, Ghassan Hamarneh
2018	—	`conf`	Deep Learning Based Image Reconstruction for Diffuse Optical Tomography. MLMIR@MICCAI Hanene Ben Yedder, Aïcha BenTaieb, Majid Shokoufi, Amir Zahiremami, Farid Golnaraghi, Ghassan Hamarneh
2018	—	`conf`	Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. MICCAI (2) Aïcha BenTaieb, Ghassan Hamarneh
2018	J	`jnl`	Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
2017	J	`jnl`	A structured latent model for ovarian carcinoma subtyping from histopathology slides. Medical Image Anal. Aïcha BenTaieb, Hector Li-Chang, David G. Huntsman, Ghassan Hamarneh
2017	—	`conf`	Uncertainty Driven Multi-loss Fully Convolutional Networks for Histopathology. CVII-STENT/LABELS@MICCAI Aïcha BenTaieb, Ghassan Hamarneh
2016	—	`conf`	Deep features to classify skin lesions. ISBI Jeremy Kawahara, Aïcha BenTaieb, Ghassan Hamarneh
2016	—	`conf`	Multi-loss convolutional networks for gland analysis in microscopy. ISBI Aïcha BenTaieb, Jeremy Kawahara, Ghassan Hamarneh
2016	—	`conf`	Topology Aware Fully Convolutional Networks for Histology Gland Segmentation. MICCAI (2) Aïcha BenTaieb, Ghassan Hamarneh
2015	—	`conf`	Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation. MICCAI (1) Aïcha BenTaieb, Hector Li-Chang, David G. Huntsman, Ghassan Hamarneh