Sobhan Hemati

According to our database1, Sobhan Hemati authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DFML: Decentralized Federated Mutual Learning.
CoRR, 2024

Parametric Feature Transfer: One-shot Federated Learning with Foundation Models.
CoRR, 2024

Analysis and Validation of Image Search Engines in Histopathology.
CoRR, 2024

2023
Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search.
Comput. Biol. Medicine, August, 2023

Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models.
CoRR, 2023

When is a Foundation Model a Foundation Model.
CoRR, 2023

Mathematical Challenges in Deep Learning.
CoRR, 2023

Understanding Hessian Alignment for Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Multi-Magnification Image Search in Digital Pathology.
IEEE J. Biomed. Health Informatics, 2022

Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing.
Pattern Recognit. Lett., 2022

A non-alternating graph hashing algorithm for large-scale image search.
Comput. Vis. Image Underst., 2022

2021
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides.
Medical Image Anal., 2021

CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs.
CoRR, 2019


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