Saeid Asgari
Saeid Asgari
Autodesk AI Lab
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Deep semantic segmentation of natural and medical images: a review
SA Taghanaki, K Abhishek, JP Cohen, J Cohen-Adad, G Hamarneh
Artificial Intelligence Review, 1-42, 2020
Combo loss: Handling input and output imbalance in multi-organ segmentation
SA Taghanaki, Y Zheng, SK Zhou, B Georgescu, P Sharma, D Xu, ...
Computerized Medical Imaging and Graphics 75, 24-33, 2019
Geometry-based pectoral muscle segmentation from mlo mammogram views
SA Taghanaki, Y Liu, B Miles, G Hamarneh
IEEE Transactions on Biomedical Engineering 64 (11), 2662-2671, 2017
Vulnerability analysis of chest x-ray image classification against adversarial attacks
SA Taghanaki, A Das, G Hamarneh
MICCAI 2018, 87-94, 2018
Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification
SA Taghanaki, J Kawahara, B Miles, G Hamarneh
Computer methods and programs in biomedicine 145, 85-93, 2017
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
SA Taghanaki, M Havaei, T Berthier, F Dutil, L Di Jorio, G Hamarneh, ...
MICCAI 2019, 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
SA Taghanaki, K Abhishek, S Azizi, G Hamarneh
CVPR 2019, 11340-11349, 2019
Nonlinear feature transformation and genetic feature selection: improving system security and decreasing computational cost
SA Taghanaki, MR Ansari, BZ Dehkordi, SA Mousavi
ETRI Journal 34 (6), 847-857, 2012
Understanding and Interpreting Machine Learning in Medical Image Computing Applications
SA Taghanaki, A Das, G Hamarneh
Springer, 2018
Segmentation-free direct tumor volume and metabolic activity estimation from PET scans
SA Taghanaki, N Duggan, H Ma, X Hou, A Celler, F Benard, G Hamarneh
Computerized Medical Imaging and Graphics 63, 52-66, 2018
Select, attend, and transfer: Light, learnable skip connections
SA Taghanaki, A Bentaieb, A Sharma, SK Zhou, Y Zheng, B Georgescu, ...
MICCAI 2019, 417-425, 2019
Improved Inference via Deep Input Transfer
SA Taghanaki, K Abhishek, G Hamarneh
MICCAI 2019, 2019
Jigsaw-vae: Towards balancing features in variational autoencoders
SA Taghanaki, M Havaei, A Lamb, A Sanghi, A Danielyan, T Custis
arXiv preprint arXiv:2005.05496, 2020
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
SA Taghanaki, J Luo, R Zhang, Y Wang, PK Jayaraman, ...
ICLR 2021, RobustML, 2020
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing
SA Taghanaki, K Hassani, PK Jayaraman, AH Khasahmadi, T Custis
ICML 2020, Human Interpretability in Machine Learning (WHI), 2020
Signed input regularization
SA Taghanaki, K Abhishek, G Hamarneh
arXiv preprint arXiv:1911.07086, 2019
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