Mehdi Moradi

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 71

Top Venues

CoRR

ISBI

Medical Imaging: Computer-Aided Diagnosis

MICCAI (3)

Queen's University at Kingston, Ontario, Canada (PHD)

Education History

Queen's University at Kingston, Ontario, Canada

PHD

Publications

Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognit. Lett. 177 (2024)
Amarachi Mbakawe, Lyuyang Wang, Mehdi Moradi, Ismini Lourentzou
Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images. MICCAI (5) (2023)
Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays. MICCAI (1) (2022)
Satyananda Kashyap, Hakan Bulu, Ashutosh Jadhav, Ronak Dholakia, Amon Y. Liu, Hussain Rangwala, William R. Patterson, Mehdi Moradi
A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography. Medical Imaging: Image-Guided Procedures (2022)
Ken C. L. Wong, Mehdi Moradi
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. CoRR (2022)
Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays. CoRR (2022)
Ken C. L. Wong, Mehdi Moradi
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. MLMI@MICCAI (2022)
Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Tanveer F. Syeda-Mahmood, Hussain Rangwala, Mehdi Moradi
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. AMIA (2022)
Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer F. Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. CoRR (2022)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Channel Scaling: A Scale-And-Select Approach For Transfer Learning. ISBI (2021)
Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray. CoRR (2021)
Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi
Chest ImaGenome Dataset for Clinical Reasoning. CoRR (2021)
Nandinee Fariah Haq, Mehdi Moradi, Zhen Jane Wang
A deep community based approach for large scale content based X-ray image retrieval. Medical Image Anal. 68 (2021)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Channel Scaling: A Scale-and-Select Approach for Transfer Learning. CoRR (2021)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Basis Scaling and Double Pruning for Efficient Transfer Learning. CoRR (2021)
Joy T. Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Alexander Paguio, Jasper Seth Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Mehdi Moradi
Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks (2021)
Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. MICCAI (5) (2021)
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI (2020)
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR (2020)
Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
Quality controlled segmentation to aid disease detection. Medical Imaging: Computer-Aided Diagnosis (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi
Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR (2020)
Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. ISBI (2020)
Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. AMIA (2020)
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR (2020)
Joy T. Wu, Ali Bin Syed, Hassan M. Ahmad, Anup Pillai, Yaniv Gur, Ashutosh Jadhav, Daniel F. Gruhl, Linda Kato, Mehdi Moradi, Tanveer F. Syeda-Mahmood
AI Accelerated Human-in-the-loop Structuring of Radiology Reports. AMIA (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi
Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) (2020)
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR (2020)
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. MLMI@MICCAI (2020)
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Anup Pillai, Arjun Sharma, Yaniv Gur, Hassan M. Ahmad, Minnekanti Sunil Chowdary, Chiranjeevi J, Kiran Kumar Reddy Polaka, Venkateswar Wunnava, D. C. Reddy, Tanveer F. Syeda-Mahmood
A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI (2020)
Ken C. L. Wong, Mehdi Moradi
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. MICCAI (3) (2019)
Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR (2019)
Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood
Age prediction using a large chest x-ray dataset. Medical Imaging: Computer-Aided Diagnosis (2019)
Ken C. L. Wong, Mehdi Moradi
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. CoRR (2019)
Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI (2019)
Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
Artificial intelligence for point of care radiograph quality assessment. Medical Imaging: Computer-Aided Diagnosis (2019)
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
Identifying disease-free chest x-ray images with deep transfer learning. Medical Imaging: Computer-Aided Diagnosis (2019)
Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood
Body part and imaging modality classification for a general radiology cognitive assistant. Medical Imaging: Image Processing (2019)
Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Age prediction using a large chest X-ray dataset. CoRR (2019)
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
Identifying disease-free chest X-ray images with deep transfer learning. CoRR (2019)
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Boosting the rule-out accuracy of deep disease detection using class weight modifiers. CoRR (2019)
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. ISBI (2019)
Nandinee Fariah Haq, Mehdi Moradi, Z. Jane Wang
Community structure detection from networks with weighted modularity. Pattern Recognit. Lett. 122 (2019)
Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer F. Syeda-Mahmood
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. MICCAI (3) (2018)
Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building medical image classifiers with very limited data using segmentation networks. Medical Image Anal. 49 (2018)
Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
Bimodal network architectures for automatic generation of image annotation from text. CoRR (2018)
Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood
Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. Medical Imaging: Image Processing (2018)
Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. ISBI (2018)
Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
Chest x-ray generation and data augmentation for cardiovascular abnormality classification. Medical Imaging: Image Processing (2018)
Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
Bimodal Network Architectures for Automatic Generation of Image Annotation from Text. MICCAI (1) (2018)
Gopalkrishna Veni, Mehdi Moradi, Hakan Bulu, Girish Narayan, Tanveer F. Syeda-Mahmood
Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior. ISBI (2018)
Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. CoRR (2018)
Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer Fathima Syeda-Mahmood
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. CoRR (2018)
Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building medical image classifiers with very limited data using segmentation networks. CoRR (2018)
Alireza Heidari, Mehdi Moradi, Alireza Aslani, Ahmad Hajinezhad
Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach. Int. J. Energy Optim. Eng. 7 (3) (2018)
Mehdi Moradi, Saeed Parsa
A Genetic Algorithm Hybridized with an Efficient Mutation Operator for Identifying Hidden Communities of Complex Networks. IST (2018)
Allen Lu, Ehsan Dehghan, Gopalkrishna Veni, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Detecting anomalies from echocardiography using multi-view regression of clinical measurements. ISBI (2018)
Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin B. Compas, Tanveer F. Syeda-Mahmood
Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies. CVII-STENT/LABELS@MICCAI (2017)
Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. MICCAI (3) (2017)
Mehdi Moradi, Yufan Guo, Yaniv Gur, Tanveer F. Syeda-Mahmood
Automatic labeling of continuous wave Doppler images based on combined image and sentence networks. ISBI (2017)
Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. MICCAI (3) (2017)
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)
Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood
An algorithm for fully automatic detection of calcium in chest CT imaging. ISBI (2017)
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)
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)
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)
Mehdi Moradi, Tanveer F. Syeda-Mahmood, Soheil Hor
Tree-Based Transforms for Privileged Learning. MLMI@MICCAI (2016)
Soheil Hor, Mehdi Moradi
Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features. Medical Image Anal. 34 (2016)
Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. ISBI (2016)
Adrian Wong, Martin J. McKeown, Mehdi Moradi, Z. Jane Wang
False discovery rate controller for functional brain parcellation. CCECE (2016)
Noel C. F. Codella, Mehdi Moradi, Matt Matasar, Tanveer F. Syeda-Mahmood, John R. Smith
Lymphoma diagnosis in histopathology using a multi-stage visual learning approach. Medical Imaging: Digital Pathology (2016)
Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, Larry Goldenberg, Mehdi Moradi
A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI. Comput. Medical Imaging Graph. 41 (2015)
Soheil Hor, Mehdi Moradi
Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets. MICCAI (1) (2015)
Nishant Uniyal, Hani Eskandari, Purang Abolmaesumi, Samira Sojoudi, Paula Gordon, Linda Warren, Robert N. Rohling, Septimiu E. Salcudean, Mehdi Moradi
Ultrasound RF Time Series for Classification of Breast Lesions. IEEE Trans. Medical Imaging 34 (2) (2015)
Amir Khojaste, Farhad Imani, Mehdi Moradi, David M. Berman, D. Robert Siemens, Eric E. Sauerberi, Alexander H. Boag, Purang Abolmaesumi, Parvin Mousavi
Characterization of aggressive prostate cancer using ultrasound RF time series. Medical Imaging: Computer-Aided Diagnosis (2015)
Hussam Al-Deen Ashab, Nandinee Fariah Haq, Guy Nir, Piotr Kozlowski, Peter C. Black, Edward C. Jones, S. Larry Goldenberg, Septimiu E. Salcudean, Mehdi Moradi
Multimodal classification of prostate tissue: a feasibility study on combining multiparametric MRI and ultrasound. Medical Imaging: Computer-Aided Diagnosis (2015)
Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, S. Larry Goldenberg, Mehdi Moradi
Prostate cancer detection from model-free T1-weighted time series and diffusion imaging. Medical Imaging: Computer-Aided Diagnosis (2015)
Shekoofeh Azizi, Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Nishant Uniyal, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) (2015)
Yu Cao, Hongzhi Wang, Mehdi Moradi, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood
Fracture detection in x-ray images through stacked random forests feature fusion. ISBI (2015)
Mehdi Moradi, Noel C. F. Codella, Tanveer F. Syeda-Mahmood
Viewpoint Recognition in Cardiac CT Images. FIMH (2015)
Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Harsh K. Agarwal, Shyam Bharat, Nishant Uniyal, Ismail Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 10 (6) (2015)
Hussam Al-Deen Ashab, Piotr Kozlowski, Larry Goldenberg, Mehdi Moradi
Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data. MLMI (2014)
Nishant Uniyal, Farhad Imani, Amir M. Tahmasebi, Harsh K. Agarwal, Shyam Bharat, Pingkun Yan, Jochen Kruecker, Jin Tae Kwak, Sheng Xu, Bradford J. Wood, Peter A. Pinto, Baris Turkbey, Peter L. Choyke, Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi
Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. CLIP@MICCAI (2014)
Omid Mohareri, Angelica Ruszkowski, Julio Lobo, Joseph Ischia, Ali Baghani, Guy Nir, Hani Eskandari, Edward C. Jones, Ladan Fazli, Larry Goldenberg, Mehdi Moradi, Septimiu Salcudean
Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors. MICCAI (1) (2014)
Adrian Wong, Samira Sojoudi, Marc Gaudet, Wan Wan Yap, Silvia D. Chang, Purang Abolmaesumi, Christina Aquino-Parsons, Mehdi Moradi
Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy. Medical Imaging: Image-Guided Procedures (2014)
Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, S. Larry Goldenberg, Mehdi Moradi
Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate. Medical Imaging: Computer-Aided Diagnosis (2014)
Mehdi Moradi, Seyedeh Sara Mahdavi, Guy Nir, Edward C. Jones, S. Larry Goldenberg, Septimiu E. Salcudean
Ultrasound RF time series for tissue typing: first in vivo clinical results. Medical Imaging: Computer-Aided Diagnosis (2013)
Mehdi Moradi, Seyedeh Sara Mahdavi, Julian Guerrero, Robert Rohling, Septimiu E. Salcudean
Statistical unit root test for edge detection in ultrasound images of vessels and cysts. J. Electronic Imaging 22 (3) (2013)
Julio Lobo, Mehdi Moradi, Nick Chng, Ehsan Dehghan, William J. Morris, Gabor Fichtinger, Septimiu E. Salcudean
Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy. IEEE Trans. Medical Imaging 31 (3) (2012)
Seyedeh Sara Mahdavi, Mehdi Moradi, William J. Morris, Larry Goldenberg, Septimiu E. Salcudean
Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate. IEEE Trans. Medical Imaging 31 (11) (2012)
Mehdi Moradi, Seyedeh Sara Mahdavi, Ehsan Dehghan, Julio Lobo, Sanchit Deshmukh, William James Morris, Gabor Fichtinger, Septimiu E. Salcudean
Seed localization in Ultrasound and Registration to C-Arm Fluoroscopy Using Matched Needle Tracks for Prostate Brachytherapy. IEEE Trans. Biomed. Eng. 59 (9) (2012)
Mehdi Moradi, Firdaus Janoos, Andriy Fedorov, Petter Risholm, Tina Kapur, Luciant D. Wolfsberger, Paul L. Nguyen, Clare M. Tempany, William M. Wells III
Two solutions for registration of ultrasound to MRI for image-guided prostate interventions. EMBC (2012)
Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. MLMI (2012)
Troy K. Adebar, Septimiu E. Salcudean, Seyedeh Sara Mahdavi, Mehdi Moradi, Christopher Y. Nguan, Larry Goldenberg
A Robotic System for Intra-operative Trans-Rectal Ultrasound and Ultrasound Elastography in Radical Prostatectomy. IPCAI (2011)
Ehsan Dehghan, Ameet K. Jain, Mehdi Moradi, Xu Wen, William James Morris, Septimiu E. Salcudean, Gabor Fichtinger
Brachytherapy seed reconstruction with joint-encoded C-arm single-axis rotation and motion compensation. Medical Image Anal. 15 (5) (2011)
Seyedeh Sara Mahdavi, Mehdi Moradi, Xu Wen, William J. Morris, Septimiu E. Salcudean
Evaluation of visualization of the prostate gland in vibro-elastography images. Medical Image Anal. 15 (4) (2011)
Mehdi Moradi, Seyedeh Sara Mahdavi, Sanchit Deshmukh, Julio Lobo, Ehsan Dehghan, Gabor Fichtinger, William J. Morris, Septimiu E. Salcudean
Towards Intra-operative Prostate Brachytherapy Dosimetry Based on Partial Seed Localization in Ultrasound and Registration to C-arm Fluoroscopy. MICCAI (1) (2011)
Julio Lobo, Mehdi Moradi, Nick Chng, Ehsan Dehghan, Gabor Fichtinger, William J. Morris, Septimiu E. Salcudean
Quantifying Stranded Implant Displacement Following Prostate Brachytherapy. MICCAI (1) (2011)
James Monaco, John Tomaszewski, Michael D. Feldman, Ian S. Hagemann, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Anal. 14 (4) (2010)
Ehsan Dehghan, Junghoon Lee, Mehdi Moradi, Xu Wen, Gabor Fichtinger, Septimiu E. Salcudean
Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation. MICCAI (1) (2010)

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Publication Activity (10 Years)

Top Topics

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Mehdi Moradi