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ORCIDHady Ahmady Phoulady
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2020 – today
- 2021
[j2]João Pedrosa
, Guilherme Aresta, Carlos A. Ferreira, Gurraj Atwal, Hady Ahmady Phoulady, Xiaoyu Chen, Rongzhen Chen, Jiaoliang Li, Liansheng Wang, Adrian Galdran, Hamid Bouchachia, Krishna Chaitanya Kaluva, Kiran Vaidhya, Abhijith Chunduru, Sambit Tarai, Sai Prasad Pranav Nadimpalli, Suthirth Vaidya, Ildoo Kim, Alexandr G. Rassadin, Zhenhuan Tian, Zhongwei Sun, Yizhuan Jia, Xuejun Men, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb challenge on automatic lung cancer patient management. Medical Image Anal. 70: 102027 (2021)- 2020
- [c7]Gurraj Atwal, Hady Ahmady Phoulady:
Automatic Lung Cancer Follow-Up Recommendation with 3D Deep Learning. ICIAR (2) 2020: 406-418
2010 – 2019
- 2019
- [i4]Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton:
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop. CoRR abs/1901.04355 (2019) - [i3]Adrian Phoulady, Ole-Christoffer Granmo, Saeed Rahimi Gorji, Hady Ahmady Phoulady:
The Weighted Tsetlin Machine: Compressed Representations with Weighted Clauses. CoRR abs/1911.12607 (2019) - 2018
- [c6]Saeed S. Alahmari, Dmitry B. Goldgof, Lawrence O. Hall, Palak Dave, Hady Ahmady Phoulady, Peter R. Mouton:
Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. ICMLA 2018: 665-670 - [i2]Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR abs/1807.08284 (2018) - [i1]Hady Ahmady Phoulady, Peter R. Mouton:
A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection. CoRR abs/1811.09651 (2018) - 2017
- [b1]Hady Ahmady Phoulady:
Adaptive Region-Based Approaches for Cellular Segmentation of Bright-Field Microscopy Images. University of South Florida, Tampa, USA, 2017 - [j1]Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images. Comput. Medical Imaging Graph. 59: 38-49 (2017) - 2016
- [c5]Hady Ahmady Phoulady, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
Automatic quantification and classification of cervical cancer via Adaptive Nucleus Shape Modeling. ICIP 2016: 2658-2662 - [c4]Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
A new approach to detect and segment overlapping cells in multi-layer cervical cell volume images. ISBI 2016: 201-204 - [c3]Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton:
Nucleus segmentation in histology images with hierarchical multilevel thresholding. Medical Imaging: Digital Pathology 2016: 979111 - 2014
- [c2]Hady Ahmady Phoulady, Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Ardeshir Hakam, Erin M. Siegel:
Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images. SMC 2014: 870-875 - 2013
- [c1]Baishali Chaudhury, Hady Ahmady Phoulady, Dmitry B. Goldgof, Lawrence O. Hall, Peter R. Mouton, Ardeshir Hakam, Erin M. Siegel:
An Ensemble Algorithm Framework for Automated Stereology of Cervical Cancer. ICIAP (1) 2013: 823-832
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