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Journal Articles
- 2018
[j3]Saeedeh Afshari, Aïcha BenTaieb, Ghassan Hamarneh
:
Automatic localization of normal active organs in 3D PET scans. Comput. Medical Imaging Graph. 70: 111-118 (2018)- [j2]Aïcha BenTaieb, Ghassan Hamarneh:
Adversarial Stain Transfer for Histopathology Image Analysis. IEEE Trans. Medical Imaging 37(3): 792-802 (2018) - 2017
- [j1]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: 194-205 (2017)
Conference and Workshop Papers
- 2019
- [c9]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: 417-425 - [c8]Saeedeh Afshari, Aïcha BenTaieb, Zahra Mirikharaji, Ghassan Hamarneh:
Weakly supervised fully convolutional network for PET lesion segmentation. Medical Imaging: Image Processing 2019: 109491K - 2018
- [c7]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: 112-119 - [c6]Aïcha BenTaieb, Ghassan Hamarneh:
Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. MICCAI (2) 2018: 129-137 - 2017
- [c5]Aïcha BenTaieb, Ghassan Hamarneh:
Uncertainty Driven Multi-loss Fully Convolutional Networks for Histopathology. CVII-STENT/LABELS@MICCAI 2017: 155-163 - 2016
- [c4]Aïcha BenTaieb, Jeremy Kawahara, Ghassan Hamarneh:
Multi-loss convolutional networks for gland analysis in microscopy. ISBI 2016: 642-645 - [c3]Jeremy Kawahara, Aïcha BenTaieb, Ghassan Hamarneh:
Deep features to classify skin lesions. ISBI 2016: 1397-1400 - [c2]Aïcha BenTaieb, Ghassan Hamarneh:
Topology Aware Fully Convolutional Networks for Histology Gland Segmentation. MICCAI (2) 2016: 460-468 - 2015
- [c1]Aïcha BenTaieb, Hector Li-Chang, David G. Huntsman, Ghassan Hamarneh:
Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation. MICCAI (1) 2015: 629-636
Informal and Other Publications
- 2023
- [i5]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 abs/2310.07682 (2023) - [i4]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 abs/2310.08743 (2023) - 2022
- [i3]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 abs/2203.13948 (2022) - 2019
- [i2]Aïcha BenTaieb, Ghassan Hamarneh:
Deep Learning Models for Digital Pathology. CoRR abs/1910.12329 (2019) - 2018
- [i1]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 abs/1804.05181 (2018)
Coauthor Index
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