Daniel Thomas Ginat

Automated segmentation of the lacrimal gland on non-contrast versus post-contrast T1-weighted MRI sequences

Amogh Shetty, Ramkumar Rajabathar Babu Jai Shanker, Mathew Illimoottil, Qasim Chohdry et autres

Purpose The lacrimal glands are small orbital exocrine structures responsible for tear production. Segmentation on MRI is challenging due to their small size, low contrast with adjacent tissues, and partial representation across slices. This study evaluates U-Net based models for automated lacrimal …

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Artificial Intelligence for Evaluating Neurodegenerative Diseases

Golnaz Lotfian, Daniel Thomas Ginat

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Overview of Machine Learning and Deep Learning Algorithms

Ramkumar Rajabathar Babu Jai Shanker, Daniel Thomas Ginat

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Artificial Intelligence for Head and Neck Anatomy and Lesion Segmentation

Mathew Illimoottil, Andrew Kunz, Yauheniya Makarevich, Marius Staring et autres

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Implementing AI in Neuroradiology

Ramkumar Rajabathar Babu Jai Shanker, Amogh Shetty, Daniel Thomas Ginat

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AI for Quality Assurance, Imaging Quality Improvement, and Workflow Optimization

Asim Dhungana, Daniel Thomas Ginat

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Artificial Intelligence for the Assessment of Intracranial Hemorrhage and Cerebrovascular Disease

Grayson W. Hooper, Daniel Thomas Ginat, Radhika Rajpurohit

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Early Experience Utilizing 4D-CT Radiomic Features for Differentiation of Parathyroid Adenomas From Lymph Nodes and Thyroid Nodules

Chime Ezenekwe, Michael H. Zhang, Irfan Hussain, Daniel Thomas Ginat

OBJECTIVE: Minimally invasive parathyroidectomy (MIP) requires high-fidelity localization of parathyroid adenomas through preoperative imaging, commonly 4-dimensional computed tomography (4D-CT). Texture analysis extracts high-order mathematical features from an image and may be applied to 4D-CT for quantitative differentiation of lymph nodes and thyroid …

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Republication de : Postoperative-alveolar bone graft assessment for cleft palate repair using CT

S Salma, S. Khan, Daniel Thomas Ginat

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Management of Incidentally Discovered Pineal Cyst on CT and MRI: Recommendations from the ACR Incidental Findings Committee

Gul Moonis, Mohan Suyash, Prachi Dubey, Daniel Thomas Ginat et autres

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Creating nasal cycle simulations by processing MRI and CT scan data with image morphing algorithms

Isira A. W. Vithanage, Daniel Thomas Ginat, Angela R. Dixon

The nasal cycle, characterized by alternating congestion and decongestion of the nasal passages, plays a vital role in nasal function. Predicting the nasal cycle using data from medical imaging modalities, such as magnetic resonance imaging (MRI) and computed tomography (CT), can help …

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Shear Wave MR Elastography of the Orbit: Preliminary Findings

Daniel Thomas Ginat

Magnetic resonance elastography (MRE) can provide insight into the biomechanical properties of tissues. Yet, there is a lack of widespread utilization of MRE for evaluation of the head and neck region, particularly the orbit. This article describes the preliminary MRE findings for …

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