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Hojjat Salehinejad
Hojjat Salehinejad
Mayo Clinic | University of Toronto
Zweryfikowany adres z mayo.edu - Strona główna
Tytuł
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Cytowane przez
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Recent advances in recurrent neural networks
H Salehinejad, S Sankar, J Barfett, E Colak, S Valaee
arXiv preprint arXiv:1801.01078, 2017
9722017
Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks
H Salehinejad, S Valaee, T Dowdell, E Colak, J Barfett
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
2692018
Survey of dropout methods for deep neural networks
A Labach, H Salehinejad, S Valaee
arXiv preprint arXiv:1904.13310, 2019
2552019
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks
H Salehinejad, E Colak, T Dowdell, J Barfett, S Valaee
IEEE Transactions on Medical Imaging 38 (5), 1197-1206, 2019
1242019
The RSNA pulmonary embolism CT dataset
E Colak, FC Kitamura, SB Hobbs, CC Wu, MP Lungren, LM Prevedello, ...
Radiology: Artificial Intelligence 3 (2), e200254, 2021
1052021
Image augmentation using radial transform for training deep neural networks
H Salehinejad, S Valaee, T Dowdell, J Barfett
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
95*2018
Computing opposition by involving entire population
S Rahnamayan, J Jesuthasan, F Bourennani, H Salehinejad, GF Naterer
2014 IEEE congress on evolutionary computation (CEC), 1800-1807, 2014
802014
Dynamic fuzzy logic-ant colony system-based route selection system
H Salehinejad, S Talebi
Applied Computational Intelligence and Soft Computing, 2010
612010
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks
H Salehinejad, S Valaee
IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5279-5292, 2022
592022
Ising-dropout: A Regularization Method for Training and Compression of Deep Neural Networks
H Salehinejad, S Valaee
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
572019
A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography
H Salehinejad, J Kitamura, N Ditkofsky, A Lin, A Bharatha, ...
Scientific Reports 11 (1), 17051, 2021
562021
Customer shopping pattern prediction: A recurrent neural network approach
H Salehinejad, S Rahnamayan
2016 IEEE symposium series on computational intelligence (SSCI), 1-6, 2016
542016
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT
EH Lee, J Zheng, E Colak, M Mohammadzadeh, G Houshmand, N Bevins, ...
NPJ digital medicine 4 (1), 11, 2021
532021
Recent advances in recurrent neural networks. arXiv 2017
H Salehinejad, S Sankar, J Barfett, E Colak, S Valaee
arXiv preprint arXiv:1801.01078, 1801
511801
Cognitive radio networks spectrum allocation: An ACS perspective
F Koroupi, S Talebi, H Salehinejad
Scientia Iranica, 2012
472012
Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging
H Salehinejad, E Ho, HM Lin, P Crivellaro, O Samorodova, MT Arciniegas, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1911-1914, 2021
412021
Micro-differential evolution: Diversity enhancement and a comparative study
H Salehinejad, S Rahnamayan, HR Tizhoosh
Applied Soft Computing 52, 812 - 833, 2017
402017
Recurrent Neural Networks for Sequential Phenotype Prediction in Genomics
F Pouladi, H Salehinejad, AM Gilani
Developments of E-Systems Engineering (DeSE), 2015 International Conference …, 2015
40*2015
LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels
H Salehinejad, S Valaee
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and …, 2022
392022
A new ant algorithm based vehicle navigation system: a wireless networking approach
H Salehinejad, S Talebi
2008 International Symposium on Telecommunications, 36-41, 2008
352008
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