Keerthi Sravan Ravi
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View article: A Case Report: A 19-Year-Old Male with Distal Arthrogryposis Type 5D
A Case Report: A 19-Year-Old Male with Distal Arthrogryposis Type 5D Open
View article: SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data Open
Foundation models like the Segment Anything Model (SAM) excel in zero-shot segmentation for natural images but struggle with medical image segmentation due to differences in texture, contrast, and noise. Annotating medical images is costly…
View article: Recognition of Daily Activities for People with Cognitive Challenges
Recognition of Daily Activities for People with Cognitive Challenges Open
This project introduces an innovative system for recognizing daily activities of intellectually disabled individuals using a multi-sensor approach. The proposed solution aims to enhance the quality of life and independence of people with i…
View article: Cognitive Load and Advertisement Effectiveness: Neurocognitive Perspective
Cognitive Load and Advertisement Effectiveness: Neurocognitive Perspective Open
View article: Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence
Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence Open
Quality assessment, including inspecting the images for artifacts, is a critical step during MRI data acquisition to ensure data quality and downstream analysis or interpretation success. This study demonstrates a deep learning model to de…
View article: Developing and deploying deep learning models in brain magnetic resonance imaging: A review
Developing and deploying deep learning models in brain magnetic resonance imaging: A review Open
Magnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the burden on radiologists and MR technologists, and improve throughput. The easy accessibility of DL tools has resulted in a rapid increase o…
View article: Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer's disease imaging
Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer's disease imaging Open
Magnetic Resonance Imaging (MR Imaging) is routinely employed in diagnosing Alzheimer's Disease (AD), which accounts for up to 60–80% of dementia cases. However, it is time-consuming, and protocol optimization to accelerate MR Imaging requ…
View article: Developing and deploying deep learning models in brain MRI: a review
Developing and deploying deep learning models in brain MRI: a review Open
Magnetic Resonance Imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the burden on radiologists and MR technologists, and improve throughput. The easy accessibility of DL tools have resulted in the rapid increas…
View article: Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer’s disease imaging
Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer’s disease imaging Open
Magnetic Resonance Imaging (MRI) is expensive and time-consuming. Protocol optimization to accelerate MRI requires local expertise since each MR sequence involves multiple configurable parameters that need optimization for contrast, acquis…
View article: Open-source magnetic resonance imaging acquisition: Data and documentation for two validated pulse sequences
Open-source magnetic resonance imaging acquisition: Data and documentation for two validated pulse sequences Open
Raw data, simulated and acquired phantom images, and quantitative longitudinal and transverse relaxation times (T1/T2) maps from two open-source Magnetic Resonance Imaging (MRI) pulse sequences are presented in this d…
View article: Autonomous Magnetic Resonance Imaging
Autonomous Magnetic Resonance Imaging Open
Access to Magnetic Resonance Imaging (MRI) across developing countries from being prohibitive to scarcely available. For example, eleven countries in Africa have no scanners. One critical limitation is the absence of skilled manpower requi…
View article: Virtual Scanner: MRI on a Browser
Virtual Scanner: MRI on a Browser Open
View article: Virtual Scanner: MRI on a Browser
Virtual Scanner: MRI on a Browser Open
Virtual Scanner is an end-to-end hybrid Magnetic Resonance Imaging (MRI) simulator/console designed to be zero-footprint, modular, and supported by open-source standards. This paper outlines the software design and functionalities. The rep…
View article: PyPulseq: A Python Package for MRI Pulse Sequence Design
PyPulseq: A Python Package for MRI Pulse Sequence Design Open
Magnetic Resonance Imaging (MRI) is a critical component of healthcare.MRI data is acquired by playing a series of radio-frequency and magnetic field gradient pulses.Designing these pulse sequences requires knowledge of specific programmin…