Ehsan Hosseini-Asl
Ehsan Hosseini-Asl
Senior Research Scientist at Salesforce Research (MetaMind)
Verified email at salesforce.com - Homepage
Title
Cited by
Cited by
Year
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network
E Hosseini-Asl, G Gimel'farb, A El-Baz
arXiv:1607.00556 [cs.LG; q-bio.NC; stat.ML], 2016
326*2016
Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints
E Hosseini-Asl, JM Zurada, O Nasraoui
IEEE Transactions on Neural Network and Learning Systems, 2015
1642015
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
CS Wu, A Madotto, E Hosseini-Asl, C Xiong, R Socher, P Fung
ACL 2019, Outstanding Paper Award, 2019
1152019
Toward Scalable Neural Dialogue State Tracking Model
E Nouri, E Hosseini-Asl
NeurIPS 2018, 2nd Conversational AI workshop, 2018
442018
A multi-discriminator cyclegan for unsupervised non-parallel speech domain adaptation
E Hosseini-Asl, Y Zhou, C Xiong, R Socher
INTERSPEECH 2018, 2018
312018
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
E Hosseini-Asl, Y Zhou, C Xiong, R Socher
ICLR 2019, 2018
28*2018
A simple language model for task-oriented dialogue
E Hosseini-Asl, B McCann, CS Wu, S Yavuz, R Socher
Neural information processing systems (NeurIPS), 2020 - Spotlight, 2020
262020
A comprehensive non-invasive framework for diagnosing prostate cancer
I Reda, A Shalaby, M Elmogy, A Abou Elfotouh, F Khalifa, M Abou El-Ghar, ...
Computers in biology and medicine 81, 148-158, 2017
252017
A new NMF-autoencoder based CAD system for early diagnosis of prostate cancer
I Reda, A Shalaby, M Abou El-Ghar, F Khalifa, M Elmogy, A Aboulfotouh, ...
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1237-1240, 2016
242016
A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI
M Shehata, F Khalifa, E Hollis, A Soliman, E Hosseini-Asl, ...
2016 IEEE International Conference on Image Processing (ICIP), 136-140, 2016
222016
Computer-aided diagnostic tool for early detection of prostate cancer
I Reda, A Shalaby, F Khalifa, M Elmogy, A Aboulfotouh, M Abou El-Ghar, ...
2016 IEEE International Conference on Image Processing (ICIP), 2668-2672, 2016
212016
3D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization
E Hosseini-Asl, J Zurada, G Gimel'farb, A El-Baz
IEEE Transactions on Biomedical Engineering, 2015
172015
Visualizing and understanding nonnegativity constrained sparse autoencoder in deep learning
BO Ayinde, E Hosseini-Asl, JM Zurada
International Conference on Artificial Intelligence and Soft Computing, 3-14, 2016
162016
Lung segmentation based on Nonnegative Matrix Factorization
E Hosseini-Asl, JM Zurada, A El-Baz
Image Processing (ICIP), 2014 IEEE International Conference on, 877-881, 2014
152014
Nonlinear dynamic system control using wavelet neural network based on sampling theory
E Hossaini-asl, M shahbazian
IEEE International Conference on Systems, Man, and Cybernetics, 4502-4507, 2009
122009
A new deep-learning approach for early detection of shape variations in autism using structural mri
M Ismail, G Barnes, M Nitzken, A Switala, A Shalaby, E Hosseini-Asl, ...
2017 IEEE International Conference on Image Processing (ICIP), 1057-1061, 2017
102017
Nonnegative Matrix Factorization for Document Clustering: A Survey
E Hosseini-Asl, JM Zurada
Artificial Intelligence and Soft Computing 8648, 726-737, 2014
82014
Nonnegative matrix factorization and its application to pattern analysis and text mining
JM Zurada, T Ensari, E Hosseini-Asl, J Chorowski
Computer Science and Information Systems (FedCSIS), 2013 Federated …, 2013
72013
Artificial intelligence for streamlined immunofluorescence-based biomarker discovery in prostate cancer.
CM de la Calle, HG Nguyen, E Hosseini-Asl, C So, R Socher, C Xiong, ...
Journal of Clinical Oncology 38 (6_suppl), 279-279, 2020
42020
Alzheimer’s disease diagnostics by a deeply supervised adaptable 3D convolutional network. 2016
E Hosseini-Asl, G Gimel’farb, A El-Baz
arXiv preprint arXiv:1607.00556, 0
4
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