Multi-scale optical flow including normalized mutual information for planar deformable lung motion estimation from 4D CT. - Mohammadreza Negahdar; Amir A. Amini (EMBC, 2011)

Estimation of affine motion from projection data using a mass conservation model. - Mohammadreza Negahdar; Amir A. Amini (EMBC, 2011)

Planar deformable motion estimation incorporating mass conservation and image gradient constancy. - Mohammadreza Negahdar; Amir A. Amini (ISBI, 2011)

Regional lung strains via a volumetric mass conserving optical flow model. - Mohammadreza Negahdar; Amir A. Amini (ISBI, 2012)

Effect of Venc on accuracy of velocity profiles in multi-slice phase-contrast MR imaging of stenotic flow. - Mohammadreza Negahdar; Jong Cha; Mostafa Shakeri; Michael Kendrick; Motaz Alshaher; Iman Khodarahimi; M. K. Sharp; A. Yancey; J. Heidenreich; Amir A. Amini (ISBI, 2012)

Assessment of flow and hemodynamics in the carotid artery using a reduced TE 4D flow spiral phase-contrast MRI. - Mo Kadbi; Mohammadreza Negahdar; Melanie Traughber; Peter Martin; Amir A. Amini (EMBC, 2013)

Comparison of indices of regional lung function from 4-D X-ray CT: Jacobian vs. strain of deformation. - Mohammadreza Negahdar; Neal Dunlap; Albert Zacarias; Ali Cahid Civelek; Shiao Y. Woo; Amir A. Amini (ISBI, 2013)

Medical sieve: a cognitive assistant for radiologists and cardiologists. - Tanveer F. Syeda-Mahmood; Eugene Walach; David Beymer; Flora Gilboa-Solomon; Mehdi Moradi; Pavel Kisilev; Deepika Kakrania; Colin B. Compas; Hongzhi Wang 002; Mohammadreza Negahdar; Yu Cao; Tyler Baldwin; et al. (Computer-Aided Diagnosis, 2016)

A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation. - Mehdi Moradi; Yufan Guo; Yaniv Gur; Mohammadreza Negahdar; Tanveer F. Syeda-Mahmood (MICCAI (2), 2016)

Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. - Tanveer F. Syeda-Mahmood; Yanrong Guo; Mehdi Moradi; David Beymer; Deepta Rajan; Yu Cao; Yaniv Gur; Mohammadreza Negahdar (MICCAI (3), 2016)

Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases. - Sailesh Conjeti; Sepideh Mesbah; Mohammadreza Negahdar; Philipp L. Rautenberg; Shaoting Zhang 001; Nassir Navab; Amin Katouzian (Neuroinformatics, 2016)

Automatic extraction of disease-specific features from Doppler images. - Mohammadreza Negahdar; Mehdi Moradi; Nripesh Parajuli; Tanveer F. Syeda-Mahmood (Computer-Aided Diagnosis, 2017)

Universal multi-modal deep network for classification and segmentation of medical images. - Ahmed Harouni; Alexandros Karargyris; Mohammadreza Negahdar; David Beymer; Tanveer F. Syeda-Mahmood (ISBI, 2018)

Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network. - Mohammadreza Negahdar; David Beymer; Tanveer F. Syeda-Mahmood (Computer-Aided Diagnosis, 2018)

An End-to-End Deep Learning Pipeline for Emphysema Quantification Using Multi-label Learning. - Mohammadreza Negahdar; Adam Coy; David Beymer (EMBC, 2019)

Lung tissue characterization for emphysema differential diagnosis using deep convolutional neural networks. - Mohammadreza Negahdar; David Beymer (Computer-Aided Diagnosis, 2019)

Automatic localization of lung opacity in chest CT images: a real-world study. - Yiting Xie; Deepta Rajan; Larissa C. Schudlo; Yusuke Takeuchi; Benedikt Graf; Adam Coy; Mohammadreza Negahdar; Vandana V. Mukherjee; David Beymer; Arun Krishnan (Computer-Aided Diagnosis, 2021)

Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network. - Mohammadreza Negahdar (MLMI@MICCAI, 2022)

Quantitative Assessment of COVID-19 Lung Disease Severity: A Segmentation-based Approach. - Edward P. Booker; Mehdi Paak; Mohammadreza Negahdar (EMBC, 2023)

Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention. - Degan Hao; Mohammadreza Negahdar (ICHI, 2023)

Transformer-based Time-Series Biomarker Discovery for COPD Diagnosis. - Soham Gadgil; Joshua Galanter; Mohammadreza Negahdar (CoRR, 2024)