Search Results - "Ul Hassan, Salman"

A Transfer‐Learning Approach for Accelerated MRI Using Deep Neural Networks by Dar, Salman Ul Hassan, Özbey, Muzaffer, Çatlı, Ahmet Burak, Çukur, Tolga

“…Purpose Neural networks have received recent interest for reconstruction of undersampled MR acquisitions. Ideally, network performance should be optimized by…”
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Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes by Dar, Salman Ul Hassan, Öztürk, Şaban, Özbey, Muzaffer, Oguz, Kader Karli, Çukur, Tolga

“…Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from prolonged scan times. Reconstruction methods can alleviate this limitation…”
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Spatially informed voxelwise modeling for naturalistic fMRI experiments by Çelik, Emin, Dar, Salman Ul Hassan, Yılmaz, Özgür, Keleş, Ümit, Çukur, Tolga

“…Voxelwise modeling (VM) is a powerful framework to predict single voxel responses evoked by a rich set of stimulus features present in complex natural stimuli…”
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Combined conventional factors and the radiomics signature of coronary plaque texture could improve cardiac risk prediction by Kahmann, Jannik, Nörenberg, Dominik, Papavassiliu, Theano, Dar, Salman Ul Hassan, Engelhardt, Sandy, Schoenberg, Stefan O., Froelich, Matthias F., Ayx, Isabelle

“…Objectives This study aims to investigate how radiomics analysis can help understand the association between plaque texture, epicardial adipose tissue (EAT),…”
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HIV Knowledge and Risk Behaviors Among Pakistani and Afghani Drug Users in Quetta, Pakistan by Zafar, Tariq, Brahmbhatt, Heena, Imam, Ghazanfar, Hassan, Salman ul, Strathdee, Steffanie A

“…Situated on the Pakistan-Afghan border, Quetta is home to growing numbers of Afghan refugees. We studied HIV knowledge and risk behaviors among Pakistani and…”
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Rise in needle sharing among injection drug users in Pakistan during the Afghanistan war by Strathdee, Steffanie A., Zafar, Tariq, Brahmbhatt, Heena, Baksh, Ahmed, ul Hassan, Salman

“…The war in Afghanistan in 2001 may have had direct or indirect effects on drug users’ behaviors in nearby Pakistan. We studied drug use patterns and correlates…”
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HIV/AIDS risk behaviors and correlates of injection drug use among drug users in Pakistan by Ahmed, Mohammad Abrar, Zafar, Tariq, Brahmbhatt, Heena, Imam, Ghazanfar, Ul Hassan, Salman, Bareta, Joseph C, Strathdee, Steffanie A

“…We studied prevalence and correlates of injection drug use, awareness of human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS), and risky…”
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Deep Learning for Accelerated MR Imaging by Dar, Salman Ul Hassan

“…Magnetic resonance imaging is a non-invasive imaging modality that enables multi-contrast acquisition of an underlying anatomy, thereby supplementing multitude…”
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GPS-based landmine detection system for multiple operating units by Dar, Salman-ul-Hassan, Tanzeel, Z., Mahmood, F., Izhar, U.

“…This paper presents the design of a landmine detection system capable of detecting landmines, IEDs and UXOs. The System has the capability to identify multiple…”
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Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis by Seyfarth, Marvin, Dar, Salman Ul Hassan, Engelhardt, Sandy

“…Contemporary developments in generative AI are rapidly transforming the field of medical AI. These developments have been predominantly driven by the…”
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Drug use, street survival, and risk behaviors among street children in Lahore, Pakistan by Sherman, Susan S, Plitt, Sabrina, ul Hassan, Salman, Cheng, Yingkai, Zafar, S Tariq

“…There are an estimated 3,500-5,000 street children living on the streets of Lahore, Pakistan. A disproportionate number of these children use drugs and engage…”
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A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors by Dar, Salman Ul Hassan, Yurt, Mahmut, Çukur, Tolga

“…Deep neural networks (DNNs) have recently found emerging use in accelerated MRI reconstruction. DNNs typically learn data-driven priors from large datasets…”
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Three Dimensional MR Image Synthesis with Progressive Generative Adversarial Networks by Özbey, Muzaffer, Yurt, Mahmut, Dar, Salman Ul Hassan, Çukur, Tolga

“…Mainstream deep models for three-dimensional MRI synthesis are either cross-sectional or volumetric depending on the input. Cross-sectional models can decrease…”
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Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis by Dar, Salman Ul Hassan, Ghanaat, Arman, Kahmann, Jannik, Ayx, Isabelle, Papavassiliu, Theano, Schoenberg, Stefan O, Engelhardt, Sandy

“…Generative latent diffusion models have been established as state-of-the-art in data generation. One promising application is generation of realistic synthetic…”
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Improving Image Synthesis Quality in Multi-Contrast MRI Using Transfer Learning via Autoencoders by Selcuk, Sahan Yoruc, Dalmaz, Onat, Dar, Salman Ul Hassan, Cukur, Tolga

“…The capacity of magnetic resonance imaging (MRI) to capture several contrasts within a session enables it to obtain increased diagnostic information. However,…”
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BolT: Fused Window Transformers for fMRI Time Series Analysis by Bedel, Hasan Atakan, Şıvgın, Irmak, Dalmaz, Onat, Dar, Salman Ul Hassan, Çukur, Tolga

“…Deep-learning models have enabled performance leaps in analysis of high-dimensional functional MRI (fMRI) data. Yet, many previous methods are suboptimally…”
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Multi-Contrast MRI Synthesis with Channel-Exchanging-Network by Dalmaz, Onat, Aytekin, Idil, Dar, Salman Ul Hassan, Erdem, Aykut, Erdem, Erkut, Cukur, Tolga

“…Magnetic resonance imaging (MRI) is used in many diagnostic applications as it has a high soft-tissue contrast and is a non-invasive medical imaging method. MR…”
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Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data by Dar, Salman Ul Hassan, Seyfarth, Marvin, Kahmann, Jannik, Ayx, Isabelle, Papavassiliu, Theano, Schoenberg, Stefan O, Frey, Norbert, Baeßler, Bettina, Foersch, Sebastian, Truhn, Daniel, Kather, Jakob Nikolas, Engelhardt, Sandy

“…AI models present a wide range of applications in the field of medicine. However, achieving optimal performance requires access to extensive healthcare data,…”
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Semi-Supervised Learning of Mutually Accelerated MRI Synthesis without Fully-Sampled Ground Truths by Yurt, Mahmut, Dar, Salman Ul Hassan, Özbey, Muzaffer, Tınaz, Berk, Oğuz, Kader Karlı, Çukur, Tolga

“…Learning-based synthetic multi-contrast MRI commonly involves deep models trained using high-quality images of source and target contrasts, regardless of…”
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Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery by Yurt, Mahmut, Özbey, Muzaffer, Dar, Salman Ul Hassan, Tınaz, Berk, Oğuz, Kader Karlı, Çukur, Tolga

“…Magnetic resonance imaging (MRI) offers the flexibility to image a given anatomic volume under a multitude of tissue contrasts. Yet, scan time considerations…”
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