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Hady Ahmady Phoulady
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Year
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
28962017
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
2832019
Nucleus segmentation in histology images with hierarchical multilevel thresholding
HA Phoulady, DB Goldgof, LO Hall, PR Mouton
Medical Imaging 2016: Digital Pathology 9791, 280-285, 2016
612016
A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images
HA Phoulady, DB Goldgof, LO Hall, PR Mouton
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 201-204, 2016
522016
A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images
HA Phoulady, D Goldgof, LO Hall, PR Mouton
Computerized Medical Imaging and Graphics 59, 38-49, 2017
502017
Automated cell counts on tissue sections by deep learning and unbiased stereology
SS Alahmari, D Goldgof, L Hall, HA Phoulady, RH Patel, PR Mouton
Journal of chemical neuroanatomy 96, 94-101, 2019
412019
Machine learning applications in head and neck radiation oncology: lessons from open-source radiomics challenges
H Elhalawani, TA Lin, S Volpe, ASR Mohamed, AL White, J Zafereo, ...
Frontiers in oncology 8, 294, 2018
402018
Automatic quantification and classification of cervical cancer via adaptive nucleus shape modeling
HA Phoulady, M Zhou, DB Goldgof, LO Hall, PR Mouton
2016 IEEE International Conference on Image Processing (ICIP), 2658-2662, 2016
392016
Unbiased estimation of cell number using the automatic optical fractionator
PR Mouton, HA Phoulady, D Goldgof, LO Hall, M Gordon, D Morgan
Journal of chemical neuroanatomy 80, A1-A8, 2017
332017
A new cervical cytology dataset for nucleus detection and image classification (Cervix93) and methods for cervical nucleus detection
HA Phoulady, PR Mouton
arXiv preprint arXiv:1811.09651, 2018
322018
Automated stereology for determining tissue characteristics
PR Mouton, HA Phoulady, D Goldgof, LO Hall
US Patent 11,004,199, 2021
232021
An approach for overlapping cell segmentation in multi-layer cervical cell volumes
HA Phoulady, DB Goldgof, LO Hall, PR Mouton
The second overlapping cervical cytology image segmentation challenge-IEEE ISBI, 2015
222015
The weighted Tsetlin machine: Compressed representations with clause weighting
A Phoulady, OC Granmo, SR Gorji, HA Phoulady
arXiv preprint arXiv:1911.12607, 2019
212019
Iterative deep learning based unbiased stereology with human-in-the-loop
S Alahmari, D Goldgof, L Hall, P Dave, HA Phoulady, P Mouton
2018 17th ieee international conference on machine learning and applications …, 2018
212018
Automatic ground truth for deep learning stereology of immunostained neurons and microglia in mouse neocortex
HA Phoulady, D Goldgof, LO Hall, PR Mouton
Journal of chemical neuroanatomy 98, 1-7, 2019
202019
LNDb challenge on automatic lung cancer patient management
J Pedrosa, G Aresta, C Ferreira, G Atwal, HA Phoulady, X Chen, R Chen, ...
Medical image analysis 70, 102027, 2021
182021
Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images
HA Phoulady, B Chaudhury, D Goldgof, LO Hall, PR Mouton, A Hakam, ...
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
162014
The weighted tsetlin machine: compressed representations with weighted clauses
A Phoulady, OC Granmo, SR Gorji, HA Phoulady
arXiv preprint arXiv:1911.12607, 2019
82019
An ensemble algorithm framework for automated stereology of cervical cancer
B Chaudhury, H Ahmady Phoulady, D Goldgof, LO Hall, PR Mouton, ...
Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013
82013
Mouton." A new cervical cytology dataset for nucleus detection and image classification (Cervix93) and methods for cervical nucleus detection."
HA Phoulady, R Peter
arXiv preprint arXiv:1811.09651, 2018
52018
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