Salman Ul Hassan Dar

Orcid: 0000-0002-7603-4245

According to our database1, Salman Ul Hassan Dar authored at least 29 papers between 2017 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Unconditional Latent Diffusion Models Memorize Patient Imaging Data.
CoRR, 2024

Effect of Training Epoch Number on Patient Data Memorization in Unconditional Latent Diffusion Models.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Unsupervised Medical Image Translation With Adversarial Diffusion Models.
IEEE Trans. Medical Imaging, December, 2023

Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes.
Comput. Biol. Medicine, December, 2023

Adaptive diffusion priors for accelerated MRI reconstruction.
Medical Image Anal., August, 2023

BolT: Fused window transformers for fMRI time series analysis.
Medical Image Anal., August, 2023

Federated Learning of Generative Image Priors for MRI Reconstruction.
IEEE Trans. Medical Imaging, 2023

Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

2022
Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths.
IEEE Trans. Medical Imaging, 2022

Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers.
IEEE Trans. Medical Imaging, 2022

Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery.
Medical Image Anal., 2022

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis.
CoRR, 2022

Adaptive Diffusion Priors for Accelerated MRI Reconstruction.
CoRR, 2022

Improving Image Synthesis Quality in Multi-Contrast MRI Using Transfer Learning via Autoencoders.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Bottleneck Sharing Generative Adversarial Networks for Unified Multi-Contrast MR Image Synthesis.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Multi-Contrast MRI Synthesis with Channel-Exchanging-Network.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

A Specificity-Preserving Generative Model for Federated MRI Translation.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

2021
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis.
Medical Image Anal., 2021

A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors.
CoRR, 2021

Three Dimensional MR Image Synthesis with Progressive Generative Adversarial Networks.
CoRR, 2021

Deep MRI Reconstruction with Generative Vision Transformers.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020
Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks.
IEEE J. Sel. Top. Signal Process., 2020

Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths.
CoRR, 2020

2019
Spatially informed voxelwise modeling for naturalistic fMRI experiments.
NeuroImage, 2019

mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis.
CoRR, 2019

2018
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI.
CoRR, 2018

Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks.
CoRR, 2018

2017
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks.
CoRR, 2017

Category-selective top-down modulation in the fusiform face area of the human brain during visual search.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017


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