Mohammadreza Negahdar

Kaiser Permanente South San Francisco Medical Center — United States

Medicine · Health Sciences

10h-index306citations55works0.12yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Lung Cancer Diagnosis and Treatment(18), Medical Imaging Techniques and Applications(18), Radiomics and Machine Learning in Medical Imaging(14), Atomic and Subatomic Physics Research(8), Chronic Obstructive Pulmonary Disease (COPD) Research(7)

Publications55 total

Improving Inter-Rater Reliability in Radiographic Edema Scoring in Acute Respiratory Failure Through Structured Training and Expert Feedback
ATS Scholar·2026Open Access
Leveraging Raw Spirometry Data and Deep Learning for Improved COPD Diagnosis and Risk Prediction
American Journal of Respiratory and Critical Care Medicine·2025
MultiScalePatch-Net: a hierarchical multiscale patch-based dual-view CNN model for diagnosis of adult elbow fractures in radiographs
2025
Transformer-based Time-Series Biomarker Discovery for COPD Diagnosis
arXiv (Cornell University)·2024Open Access
Developing prognostic deep learning models in IPF using OSIC dataset.
2024
Spinal cord lesion MRI and behavioral outcomes in a miniature pig model of spinal cord injury: exploring preclinical potential through an ad hoc comparison with human SCI
Spinal Cord Series and Cases·2024· 1 cited
E-005 Non-invasive intracranial pressure estimation in idiopathic intracranial hypertension using 4D flow MRI and computational fluid dynamics
2024Open Access
Exploring Deep Learning Models for the Prediction of FVC Decline in IPF Patients
2024
Evaluating Radiomic-derived Features Across Different Image Convolution Kernels for Predicting IPF Patient Survival
2024
Prognostic modeling in idiopathic pulmonary fibrosis using deep learning
2023
Weak to no correlation between quantitative high-resolution computed tomography metrics and lung function change in fibrotic diseases
ERJ Open Research·2023· 4 citedOpen Access
Predictive values of spinal cord diffusion <scp>magnetic resonance imaging</scp> to characterize outcomes after contusion injury
Annals of Clinical and Translational Neurology·2023· 2 citedOpen Access
Quantitative Assessment of COVID-19 Lung Disease Severity: A Segmentation-based Approach
2023Open Access
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention
arXiv (Cornell University)·2023Open Access
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention
2023
Automated detection of progressive speech changes in early Alzheimer's disease
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring·2023· 20 citedOpen Access
Characterizing progressive speech changes in prodromal‐to‐mild Alzheimer’s disease using natural language processing
Alzheimer s & Dementia·2022· 11 cited
Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network
Lecture notes in computer science·2022
4D flow MRI and CFD simulations of pulsatile flow in a phantom model of arterial stenosis: visualizing the vortex dynamics
2021· 7 cited
Automatic localization of lung opacity in chest CT images - a real-world study
2021
page 1 of 3Next →

Frequent Co-authors

Amir A. Amini(14), Billy W. Loo(10), Peter G. Maxim(10), Maximilian Diehn(8), David Beymer(6), Tokihiro Yamamoto(5), Tanveer Syeda-Mahmood(5), Rie von Eyben(4), Dominik Fleischmann(4), Neha Anegondi(4), Mehdi Moradi(3), Carolina E. Fasola(3), Lü Tian(3), Neal Dunlap(3), Albert Zacarias(3), Shiao Y. Woo(3), Erik Mittra(3), David Shultz(3), L. Gable(3), Xiaoliang Shan(3)