Aïcha BenTaieb

According to our database, Aïcha BenTaieb authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Rohan P. Joshi, Nike Beaubier, Martin C. Stumpe, Kunal Nagpal

CoRR, 2023

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

2022

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

2019

Deep Learning Models for Digital Pathology.

Aïcha BenTaieb, Ghassan Hamarneh

CoRR, 2019

Weakly supervised fully convolutional network for PET lesion segmentation.

Saeedeh Afshari, Aïcha BenTaieb, Zahra Mirikharaji, Ghassan Hamarneh

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Select, Attend, and Transfer: Light, Learnable Skip Connections.

Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

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, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh

CoRR, 2018

Automatic localization of normal active organs in 3D PET scans.

Saeedeh Afshari, Aïcha BenTaieb, Ghassan Hamarneh

Comput. Medical Imaging Graph., 2018

Deep Learning Based Image Reconstruction for Diffuse Optical Tomography.

Hanene Ben Yedder, Aïcha BenTaieb, Majid Shokoufi, Amir Zahiremami, Farid Golnaraghi, Ghassan Hamarneh

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images.

Aïcha BenTaieb, Ghassan Hamarneh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

Uncertainty Driven Multi-loss Fully Convolutional Networks for Histopathology.

Aïcha BenTaieb, Ghassan Hamarneh

Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

2016

Topology Aware Fully Convolutional Networks for Histology Gland Segmentation.

Aïcha BenTaieb, Ghassan Hamarneh

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep features to classify skin lesions.

Jeremy Kawahara, Aïcha BenTaieb, Ghassan Hamarneh

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Multi-loss convolutional networks for gland analysis in microscopy.

Aïcha BenTaieb, Jeremy Kawahara, Ghassan Hamarneh

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation.

Aïcha BenTaieb, Hector Li-Chang, David G. Huntsman, Ghassan Hamarneh

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015