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Saeid Asgari
Saeid Asgari
Autodesk AI Research
Adresse e-mail validée de autodesk.com - Page d'accueil
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Année
Deep Semantic Segmentation of Natural and Medical Images: A Review
S Asgari Taghanaki, K Abhishek, JP Cohen, J Cohen-Adad, G Hamarneh
Artificial Intelligence Review 54, 137-178, 2021
8622021
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
4242019
Vulnerability analysis of chest x-ray image classification against adversarial attacks
S Asgari Taghanaki, A Das, G Hamarneh
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
752018
Understanding and interpreting machine learning in medical image computing applications
D Stoyanov, Z Taylor, SM Kia, I Oguz, M Reyes, A Martel, L Maier-Hein, ...
Springer International Publishing, 2018
662018
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
612017
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
512019
Masktune: Mitigating Spurious Correlations by Forcing to Explore
S Asgari, A Khani, F Khani, A Gholami, L Tran, A Mahdavi Amiri, ...
NeurIPS 2022, 2022
45*2022
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
452017
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
SA Taghanaki, K Abhishek, S Azizi, G Hamarneh
CVPR 2019, 2019
442019
Select, Attend, and Transfer: Light, Learnable Skip Connections
SA Taghanaki, A Bentaieb, A Sharma, SK Zhou, Y Zheng, B Georgescu, ...
MICCAI 2019, 2019
38*2019
Robust Representation Learning via Perceptual Similarity Metrics
SA Taghanaki, K Choi, A Khasahmadi, A Goyal
ICML 2021, 2021
342021
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
SA Taghanaki, J Luo, R Zhang, Y Wang, PK Jayaraman, ...
ICLR 2021, RobustML, 2021
262021
Slime: Segment Like Me
A Khani, SA Taghanaki, A Sanghi, AM Amiri, G Hamarneh
ICLR 2024, 2023
252023
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
222018
Nonlinear feature transformation and genetic algorithm-based feature selection: improving system security and decreasing computational cost
SA Taghanaki, MR Ansari, BZ Dehkordi, SA Mousavi
ETRI Journal 34 (6), 847-857, 2012
16*2012
Sketch-a-Shape: Zero-shot Sketch-to-3D Shape Generation
A Sanghi, PK Jayaraman, A Rampini, J Lambourne, H Shayani, ...
arXiv preprint arXiv:2307.03869, 2023
152023
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
132020
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
112020
Improved Inference via Deep Input Transfer
SA Taghanaki, K Abhishek, G Hamarneh
MICCAI 2019, 2019
92019
MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs
SA Taghanaki, A Khani, A Khasahmadi
NeurIPS 2024, Safe Generative AI, 2024
4*2024
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