Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification. - Saeid Asgari Taghanaki; Jeremy Kawahara; Brandon Miles; Ghassan Hamarneh (Comput. Methods Programs Biomed., 2017)

Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views. - Saeid Asgari Taghanaki; Yonghuai Liu; Brandon Miles; Ghassan Hamarneh (IEEE Trans. Biomed. Eng., 2017)

Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. - Saeid Asgari Taghanaki; Arkadeep Das; Ghassan Hamarneh (MLCN/DLF/iMIMIC@MICCAI, 2018)

Segmentation-free direct tumor volume and metabolic activity estimation from PET scans. - Saeid Asgari Taghanaki; Nóirín Duggan; Hillgan Ma; Xinchi Hou; Anna Celler; François Bénard; Ghassan Hamarneh (Comput. Medical Imaging Graph., 2018)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Sasa Grbic; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (CoRR, 2018)

A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. - Saeid Asgari Taghanaki; Kumar Abhishek 001; Shekoofeh Azizi; Ghassan Hamarneh (CVPR, 2019)

Improved Inference via Deep Input Transfer. - Saeid Asgari Taghanaki; Kumar Abhishek 001; Ghassan Hamarneh (MICCAI (6), 2019)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (MLMI@MICCAI, 2019)

InfoMask: Masked Variational Latent Representation to Localize Chest Disease. - Saeid Asgari Taghanaki; Mohammad Havaei; Tess Berthier; Francis Dutil; Lisa Di-Jorio; Ghassan Hamarneh; Yoshua Bengio (MICCAI (6), 2019)

Combo loss: Handling input and output imbalance in multi-organ segmentation. - Saeid Asgari Taghanaki; Yefeng Zheng 001; Shaohua Kevin Zhou; Bogdan Georgescu; Puneet Sharma; Daguang Xu; Dorin Comaniciu; Ghassan Hamarneh (Comput. Medical Imaging Graph., 2019)

Signed Input Regularization. - Saeid Asgari Taghanaki; Kumar Abhishek 001; Ghassan Hamarneh (CoRR, 2019)

Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. - Saeid Asgari Taghanaki; Mohammad Havaei; Alex Lamb; Aditya Sanghi; Ara Danielyan; Tonya Custis (CoRR, 2020)

PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing. - Saeid Asgari Taghanaki; Kaveh Hassani; Pradeep Kumar Jayaraman; Amir Hosein Khas Ahmadi; Tonya Custis (CoRR, 2020)

RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. - Saeid Asgari Taghanaki; Jieliang Luo; Ran Zhang; Ye Wang 008; Pradeep Kumar Jayaraman; Krishna Murthy Jatavallabhula (CoRR, 2020)

Robust Representation Learning via Perceptual Similarity Metrics. - Saeid Asgari Taghanaki; Kristy Choi; Amir Hosein Khasahmadi; Anirudh Goyal (ICML, 2021)

Deep semantic segmentation of natural and medical images: a review. - Saeid Asgari Taghanaki; Kumar Abhishek 001; Joseph Paul Cohen; Julien Cohen-Adad; Ghassan Hamarneh (Artif. Intell. Rev., 2021)

Group-disentangled Representation Learning with Weakly-Supervised Regularization. - Linh Tran; Amir Hosein Khasahmadi; Aditya Sanghi; Saeid Asgari Taghanaki (CoRR, 2021)

MaskTune: Mitigating Spurious Correlations by Forcing to Explore. - Saeid Asgari Taghanaki; Aliasghar Khani; Fereshte Khani; Ali Gholami; Linh Tran; Ali Mahdavi-Amiri; Ghassan Hamarneh (NeurIPS, 2022)

Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. - Saeid Asgari Taghanaki; Ali Gholami; Fereshte Khani; Kristy Choi; Linh Tran; Ran Zhang; Aliasghar Khani (CoRR, 2022)

Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation. - Aditya Sanghi; Pradeep Kumar Jayaraman; Arianna Rampini; Joseph G. Lambourne; Hooman Shayani; Evan Atherton; Saeid Asgari Taghanaki (CoRR, 2023)

Learned Visual Features to Textual Explanations. - Saeid Asgari Taghanaki; Aliasghar Khani; Amir Khasahmadi; Aditya Sanghi; Karl D. D. Willis; Ali Mahdavi-Amiri (CoRR, 2023)

SLiMe: Segment Like Me. - Aliasghar Khani; Saeid Asgari Taghanaki; Aditya Sanghi; Ali Mahdavi-Amiri; Ghassan Hamarneh (ICLR, 2024)

Detecting Generative Parroting through Overfitting Masked Autoencoders. - Saeid Asgari Taghanaki; Joseph G. Lambourne (CoRR, 2024)

How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model? - Saeid Asgari Taghanaki; Joseph G. Lambourne; Alana Mongkhounsavath (CoRR, 2024)

MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs. - Saeid Asgari Taghanaki; Ali Asghar Khani; Amir Khasahmadi (CoRR, 2024)

SMITE: Segment Me In TimE. - Amirhossein Alimohammadi; Sauradip Nag; Saeid Asgari Taghanaki; Andrea Tagliasacchi; Ghassan Hamarneh; Ali Mahdavi-Amiri (ICLR, 2025)

Disentangled PET Lesion Segmentation. - Tanya Gatsak; Kumar Abhishek 001; Hanene Ben Yedder; Saeid Asgari Taghanaki; Ghassan Hamarneh (ISBI, 2025)

Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy. - Saeid Asgari Taghanaki; Joao Monteiro (CoRR, 2025)