AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides

To Appear in Modern Pathology

[pdf]

Integration of tumor extrinsic and intrinsic features associates with immunotherapy response in non-small cell lung cancer

Denise Lau, Sonal Khare, Michelle M. Stein, Prerna Jain, Yinjie Gao, Aicha BenTaieb, Tim A. Rand, Ameen A. Salahudeen & Aly A. Khan

Nat Commun 13, 4053 (2022)

[pdf]

Effects of Color Calibration via ICC Profile on Inter-scanner Generalization of AI Models

Kshitij Ingale, Rohan Joshi, Irvin Ho, Aicha BenTaieb, Martin Stumpe

USCAP, 2022

[pdf]

A pan-cancer organoid platform for precision medicine

Brian M. Larsen et al.

Cell, 2021

[pdf]

Select, attend, and transfer: Light, learnable skip connections

Taghanaki, Saeid Asgari; Bentaieb, Aicha; Sharma, Anmol; Zhou, S Kevin; Zheng, Yefeng; Georgescu, Bogdan; Sharma, Puneet; Xu, Zhoubing; Comaniciu, Dorin; Hamarneh, Ghassan;

International Workshop on Machine Learning in Medical Imaging, 2019

[pdf]

Weakly supervised fully convolutional network for PET lesion segmentation

Afshari, Saeedeh; BenTaieb, Aïcha; Mirikharaji, Zahra; Hamarneh, Ghassan;

Oral at Medical Imaging 2019: Image Processing

[pdf]

Deep Learning Models for Digital Pathology

BenTaieb, Aïcha; Hamarneh, Ghassan;

arXiv preprint arXiv:1910.12329

[pdf]

Analyzing Cancers in Digitized Histopathology Images

Bentaieb Aicha, Thesis 2018

[pdf] [slides]

Predicting cancer with a recurrent visual attention model for histopathology images

BenTaieb, Aïcha; Hamarneh, Ghassan;

Oral at the International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017

[pdf] [code] [slides]

Deep learning based image reconstruction for diffuse optical tomography

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

International Workshop on Machine Learning for Medical Image Reconstruction

[pdf]

Automatic localization of normal active organs in 3D PET scans

Afshari, Saeedeh; BenTaieb, Aïcha; Hamarneh, Ghassan;

Computerized Medical Imaging and Graphics, 2018

[pdf]

A structured latent model for ovarian carcinoma subtyping from histopathology slides

BenTaieb, Aïcha; Li-Chang, Hector; Huntsman, David; Hamarneh, Ghassan;

Medical image analysis, 2017

[pdf] [code] [dataset]

Uncertainty driven multi-loss fully convolutional networks for histopathology

BenTaieb, Aïcha; Hamarneh, Ghassan;

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

[pdf] [code]

Adversarial stain transfer for histopathology image analysis

BenTaieb, Aïcha; Hamarneh, Ghassan;

IEEE transactions on medical imaging, 2017

[pdf] [code]

Deep features to classify skin lesions

Kawahara, Jeremy; BenTaieb, Aicha; Hamarneh, Ghassan;

2016 IEEE 13th international symposium on biomedical imaging (ISBI), 2016

[pdf]

Topology aware fully convolutional networks for histology gland segmentation

BenTaieb, Aïcha; Hamarneh, Ghassan;

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016

[pdf] [code]

Clinically-inspired automatic classification of ovarian carcinoma subtypes

BenTaieb, Aicha; Nosrati, Masoud S; Li-Chang, Hector; Huntsman, David; Hamarneh, Ghassan;

Journal of pathology informatics, 2016

[pdf] [demo]

Multi-loss convolutional networks for gland analysis in microscopy

BenTaieb, Aïcha; Kawahara, Jeremy; Hamarneh, Ghassan;

Oral at 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016

[pdf] [slides]

Automatic diagnosis of ovarian carcinomas via sparse multiresolution tissue representation

BenTaieb, Aïcha; Li-Chang, Hector; Huntsman, David; Hamarneh, Ghassan;

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015

[pdf] [teaser]