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Mohammadreza Negahdar
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2020 – today
- 2023
- [c19]Edward P. Booker, Mehdi Paak, Mohammadreza Negahdar:
Quantitative Assessment of COVID-19 Lung Disease Severity: A Segmentation-based Approach. EMBC 2023: 1-4 - [c18]Degan Hao, Mohammadreza Negahdar:
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention. ICHI 2023: 162-167 - [i1]Degan Hao, Mohammadreza Negahdar:
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention. CoRR abs/2307.04770 (2023) - 2022
- [c17]Mohammadreza Negahdar:
Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network. MLMI@MICCAI 2022: 181-190 - 2021
- [c16]Yiting Xie, Deepta Rajan, Larissa C. Schudlo, Yusuke Takeuchi, Benedikt Graf, Adam Coy, Mohammadreza Negahdar, Vandana V. Mukherjee, David Beymer, Arun Krishnan:
Automatic localization of lung opacity in chest CT images: a real-world study. Medical Imaging: Computer-Aided Diagnosis 2021
2010 – 2019
- 2019
- [c15]Mohammadreza Negahdar, Adam Coy, David Beymer:
An End-to-End Deep Learning Pipeline for Emphysema Quantification Using Multi-label Learning. EMBC 2019: 929-932 - [c14]Mohammadreza Negahdar, David Beymer:
Lung tissue characterization for emphysema differential diagnosis using deep convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2019: 109503R - 2018
- [c13]Ahmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood:
Universal multi-modal deep network for classification and segmentation of medical images. ISBI 2018: 872-876 - [c12]Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood:
Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2018: 105751J - 2017
- [c11]Mohammadreza Negahdar, Mehdi Moradi, Nripesh Parajuli
, Tanveer F. Syeda-Mahmood:
Automatic extraction of disease-specific features from Doppler images. Medical Imaging: Computer-Aided Diagnosis 2017: 101340N - 2016
- [j1]Sailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, Philipp L. Rautenberg, Shaoting Zhang
, Nassir Navab, Amin Katouzian:
Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases. Neuroinformatics 14(4): 369-385 (2016) - [c10]Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul:
Medical sieve: a cognitive assistant for radiologists and cardiologists. Medical Imaging: Computer-Aided Diagnosis 2016: 97850A - [c9]Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar:
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. MICCAI (3) 2016: 238-245 - [c8]Mehdi Moradi, Yufan Guo, Yaniv Gur, Mohammadreza Negahdar, Tanveer F. Syeda-Mahmood:
A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation. MICCAI (2) 2016: 300-307 - 2013
- [c7]Mo Kadbi, Mohammadreza Negahdar, Melanie Traughber, Peter Martin, Amir A. Amini:
Assessment of flow and hemodynamics in the carotid artery using a reduced TE 4D flow spiral phase-contrast MRI. EMBC 2013: 1100-1103 - [c6]Mohammadreza Negahdar, Neal Dunlap, Albert Zacarias, Ali Cahid Civelek, Shiao Y. Woo, Amir A. Amini:
Comparison of indices of regional lung function from 4-D X-ray CT: Jacobian vs. strain of deformation. ISBI 2013: 648-651 - 2012
- [c5]Mohammadreza Negahdar, Jong Cha, Mostafa Shakeri, Michael Kendrick, Motaz Alshaher, Iman Khodarahimi, M. K. Sharp, A. Yancey, J. Heidenreich, Amir A. Amini:
Effect of Venc on accuracy of velocity profiles in multi-slice phase-contrast MR imaging of stenotic flow. ISBI 2012: 820-823 - [c4]Mohammadreza Negahdar, Amir A. Amini:
Regional lung strains via a volumetric mass conserving optical flow model. ISBI 2012: 1475-1478 - 2011
- [c3]Mohammadreza Negahdar, Amir A. Amini:
Multi-scale optical flow including normalized mutual information for planar deformable lung motion estimation from 4D CT. EMBC 2011: 4888-4892 - [c2]Mohammadreza Negahdar, Amir A. Amini:
Estimation of affine motion from projection data using a mass conservation model. EMBC 2011: 8041-8044 - [c1]Mohammadreza Negahdar, Amir A. Amini:
Planar deformable motion estimation incorporating mass conservation and image gradient constancy. ISBI 2011: 536-540
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last updated on 2024-04-25 05:56 CEST by the dblp team
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