Mehran Javanmardi
Cited by
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Regularization with stochastic transformations and perturbations for deep semi-supervised learning
M Sajjadi, M Javanmardi, T Tasdizen
Advances in neural information processing systems 29, 2016
Domain adaptation for biomedical image segmentation using adversarial training
M Javanmardi, T Tasdizen
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Mutual exclusivity loss for semi-supervised deep learning
M Sajjadi, M Javanmardi, T Tasdizen
2016 IEEE International Conference on Image Processing (ICIP), 1908-1912, 2016
Using 164 million google street view images to derive built environment predictors of COVID-19 cases
QC Nguyen, Y Huang, A Kumar, H Duan, JM Keralis, P Dwivedi, ...
International journal of environmental research and public health 17 (17), 6359, 2020
Health and the built environment in United States cities: Measuring associations using Google Street View-derived indicators of the built environment
JM Keralis, M Javanmardi, S Khanna, P Dwivedi, D Huang, T Tasdizen, ...
BMC public health 20, 1-10, 2020
Unsupervised total variation loss for semi-supervised deep learning of semantic segmentation
M Javanmardi, M Sajjadi, T Liu, T Tasdizen
arXiv preprint arXiv:1605.01368, 2016
Leveraging 31 million Google street view images to characterize built environments and examine county health outcomes
QC Nguyen, JM Keralis, P Dwivedi, AE Ng, M Javanmardi, S Khanna, ...
Public Health Reports 136 (2), 201-211, 2021
Google street view derived built environment indicators and associations with state-level obesity, physical activity, and chronic disease mortality in the United States
L Phan, W Yu, JM Keralis, K Mukhija, P Dwivedi, KD Brunisholz, ...
International Journal of Environmental Research and Public Health 17 (10), 3659, 2020
SSHMT: Semi-supervised hierarchical merge tree for electron microscopy image segmentation
T Liu, M Zhang, M Javanmardi, N Ramesh, T Tasdizen
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Improving the robustness of convolutional networks to appearance variability in biomedical images
T Tasdizen, M Sajjadi, M Javanmardi, N Ramesh
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
Analyzing associations between chronic disease prevalence and neighborhood quality through Google Street View images
M Javanmardi, D Huang, P Dwivedi, S Khanna, K Brunisholz, R Whitaker, ...
IEEE Access 8, 6407-6416, 2019
Image segmentation by deep learning of disjunctive normal shape model shape representation
M Javanmardi, R Bigolin Lanfredi, M Cetin, T Tasdizen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Neighborhood looking glass: 360 degree automated characterization of the built environment for neighborhood effects research
Q Nguyen, MM Sajjadi, M McCullough, W Yu, HW Meng, D Li, T Tasdizen
I n APHA 2017 annual meeting & expo (nov. 4-Nov. 8). American Public Healt h …, 2017
Appearance invariance in convolutional networks with neighborhood similarity
T Tasdizen, M Sajjadi, M Javanmardi, N Ramesh
arXiv preprint arXiv:1707.00755, 2017
Learning Deep Models Under Constraints of Annotated Data Insufficiency
M Javanmardi
The University of Utah, 2020
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