Mehran Javanmardi

According to our database, Mehran Javanmardi authored at least 10 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Learning Deep Models under Constraints of Annotated Data Insufficiency.

Mehran Javanmardi

PhD thesis, 2020

Analyzing Associations Between Chronic Disease Prevalence and Neighborhood Quality Through Google Street View Images.

Mehran Javanmardi, Dina Huang, Pallavi Dwivedi, Sahil Khanna, Kim D. Brunisholz, Ross T. Whitaker, Quynh C. Nguyen, Tolga Tasdizen

IEEE Access, 2020

2018

Improving the robustness of convolutional networks to appearance variability in biomedical images.

Tolga Tasdizen, Mehdi Sajjadi, Mehran Javanmardi, Nisha Ramesh

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Domain adaptation for biomedical image segmentation using adversarial training.

Mehran Javanmardi, Tolga Tasdizen

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation.

Mehran Javanmardi, Ricardo Bigolin Lanfredi, Müjdat Çetin, Tolga Tasdizen

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Appearance invariance in convolutional networks with neighborhood similarity.

Tolga Tasdizen, Mehdi Sajjadi, Mehran Javanmardi, Nisha Ramesh

CoRR, 2017

2016

Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation.

Mehran Javanmardi, Mehdi Sajjadi, Ting Liu, Tolga Tasdizen

CoRR, 2016

Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning.

Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Mutual exclusivity loss for semi-supervised deep learning.

Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation.

Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen

Proceedings of the Computer Vision - ECCV 2016, 2016