Mehdi Moradi - RankMe

118 papers B 6Misc 3Journal 39Unranked 67

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Mind the Evaluation Gap: Large Language Models for Structured Data Extraction from Radiology Reports. ELAMI@MICCAI Amirhossein Sabour, Kailin Chu, Mehrdad Eshraghi Dehaghani, Mehdi Moradi
2025	J	`jnl`	Self-Supervised Learning for Drug Discovery Using Nematode Images: Method and Dataset. IEEE J. Biomed. Health Informatics Lyuyang Wang, Sommer Chou, Mehrdad Eshraghi Dehaghani, Gerry Wright, Lesley MacNeil, Mehdi Moradi
2024	J	`jnl`	Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognit. Lett. Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2024	—	`conf`	Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection. MICCAI (1) Mehrdad Eshraghi Dehaghani, Amirhossein Sabour, Amarachi B. Madu, Ismini Lourentzou, Mehdi Moradi
2024	—	`conf`	TriCC: Self-Supervised Contrastive Learning for Image-Based Antiparasitic Drug Discovery. ISBI Lyuyang Wang, Sommer Chou, Gerry Wright, Lesley MacNeil, Mehdi Moradi
2023	—	`conf`	Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images. MICCAI (5) Amarachi Mbakawe, Lyuyang Wang, Mehdi Moradi, Ismini Lourentzou
2022	—	`conf`	3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. MLMI@MICCAI Ken C. L. Wong, Mehdi Moradi
2022	J	`jnl`	3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. CoRR Ken C. L. Wong, Mehdi Moradi
2022	—	`conf`	A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography. Image-Guided Procedures Satyananda Kashyap, Hakan Bulu, Ashutosh Jadhav, Ronak Dholakia, Amon Y. Liu, Hussain Rangwala, William R. Patterson, Mehdi Moradi
2022	—	`conf`	CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays. MICCAI (1) Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou
2022	J	`jnl`	CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays. CoRR Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou
2022	Misc	`conf`	Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. AMIA Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Tanveer F. Syeda-Mahmood, Hussain Rangwala, Mehdi Moradi
2022	J	`jnl`	Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. CoRR Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer F. Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi
2021	J	`jnl`	A deep community based approach for large scale content based X-ray image retrieval. Medical Image Anal. Nandinee Fariah Haq, Mehdi Moradi, Zhen Jane Wang
2021	—	`conf`	AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. MICCAI (5) Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler
2021	J	`jnl`	AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray. CoRR Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler
2021	J	`jnl`	Basis Scaling and Double Pruning for Efficient Transfer Learning. CoRR Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	—	`conf`	Channel Scaling: A Scale-And-Select Approach For Transfer Learning. ISBI Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	J	`jnl`	Channel Scaling: A Scale-and-Select Approach for Transfer Learning. CoRR Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	—	`conf`	Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	Chest ImaGenome Dataset for Clinical Reasoning. CoRR 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
2020	—	`conf`	A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI 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
2020	Misc	`conf`	AI Accelerated Human-in-the-loop Structuring of Radiology Reports. AMIA 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
2020	—	`conf`	Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. ISBI Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	—	`conf`	Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) 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
2020	J	`jnl`	Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR 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
2020	Misc	`conf`	Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. AMIA Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR 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
2020	—	`conf`	Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. MLMI@MICCAI Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
2020	J	`jnl`	Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
2020	—	`conf`	Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	—	`conf`	Quality controlled segmentation to aid disease detection. Computer-Aided Diagnosis Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Age prediction using a large chest X-ray dataset. CoRR Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Age prediction using a large chest x-ray dataset. Computer-Aided Diagnosis Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood
2019	—	`conf`	Artificial intelligence for point of care radiograph quality assessment. Computer-Aided Diagnosis Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
2019	B	`conf`	Body part and imaging modality classification for a general radiology cognitive assistant. Image Processing Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. ISBI Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Boosting the rule-out accuracy of deep disease detection using class weight modifiers. CoRR Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI 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
2019	J	`jnl`	Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR 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
2019	J	`jnl`	Community structure detection from networks with weighted modularity. Pattern Recognit. Lett. Nandinee Fariah Haq, Mehdi Moradi, Z. Jane Wang
2019	J	`jnl`	Identifying disease-free chest X-ray images with deep transfer learning. CoRR Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Identifying disease-free chest x-ray images with deep transfer learning. Computer-Aided Diagnosis Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
2019	—	`conf`	SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. MICCAI (3) Ken C. L. Wong, Mehdi Moradi
2019	J	`jnl`	SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. CoRR Ken C. L. Wong, Mehdi Moradi
2018	—	`conf`	3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. MICCAI (3) Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer F. Syeda-Mahmood
2018	J	`jnl`	3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. CoRR Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer Fathima Syeda-Mahmood
2018	—	`conf`	A Genetic Algorithm Hybridized with an Efficient Mutation Operator for Identifying Hidden Communities of Complex Networks. IST Mehdi Moradi, Saeed Parsa
2018	—	`conf`	Bimodal Network Architectures for Automatic Generation of Image Annotation from Text. MICCAI (1) Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
2018	J	`jnl`	Bimodal network architectures for automatic generation of image annotation from text. CoRR Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
2018	J	`jnl`	Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. CoRR Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	J	`jnl`	Building medical image classifiers with very limited data using segmentation networks. CoRR Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	J	`jnl`	Building medical image classifiers with very limited data using segmentation networks. Medical Image Anal. Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	B	`conf`	Chest x-ray generation and data augmentation for cardiovascular abnormality classification. Image Processing Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2018	—	`ed.`	Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings DLMIA/ML-CDS@MICCAI Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi
2018	—	`conf`	Detecting anomalies from echocardiography using multi-view regression of clinical measurements. ISBI Allen Lu, Ehsan Dehghan, Gopalkrishna Veni, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior. ISBI Gopalkrishna Veni, Mehdi Moradi, Hakan Bulu, Girish Narayan, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood
2018	J	`jnl`	Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach. Int. J. Energy Optim. Eng. Alireza Heidari, Mehdi Moradi, Alireza Aslani, Ahmad Hajinezhad
2018	B	`conf`	Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. Image Processing Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. ISBI Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2017	—	`conf`	A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. MICCAI (3) Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2017	—	`conf`	An algorithm for fully automatic detection of calcium in chest CT imaging. ISBI Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Automatic extraction of disease-specific features from Doppler images. Computer-Aided Diagnosis Mohammadreza Negahdar, Mehdi Moradi, Nripesh Parajuli, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Automatic labeling of continuous wave Doppler images based on combined image and sentence networks. ISBI Mehdi Moradi, Yufan Guo, Yaniv Gur, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. MICCAI (3) Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2017	—	`ed.`	Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings DLMIA/ML-CDS@MICCAI M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017	—	`conf`	Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies. CVII-STENT/LABELS@MICCAI Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin B. Compas, Tanveer F. Syeda-Mahmood
2016	—	`conf`	A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation. MICCAI (2) Mehdi Moradi, Yufan Guo, Yaniv Gur, Mohammadreza Negahdar, Tanveer F. Syeda-Mahmood
2016	—	`conf`	A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. ISBI Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2016	—	`conf`	False discovery rate controller for functional brain parcellation. CCECE Adrian Wong, Martin J. McKeown, Mehdi Moradi, Z. Jane Wang
2016	—	`conf`	Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. MICCAI (3) Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar
2016	J	`jnl`	Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features. Medical Image Anal. Soheil Hor, Mehdi Moradi
2016	—	`conf`	Lymphoma diagnosis in histopathology using a multi-stage visual learning approach. Digital Pathology Noel C. F. Codella, Mehdi Moradi, Matt Matasar, Tanveer F. Syeda-Mahmood, John R. Smith
2016	—	`conf`	Medical sieve: a cognitive assistant for radiologists and cardiologists. Computer-Aided Diagnosis 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
2016	—	`conf`	Tree-Based Transforms for Privileged Learning. MLMI@MICCAI Mehdi Moradi, Tanveer F. Syeda-Mahmood, Soheil Hor
2015	J	`jnl`	A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI. Comput. Medical Imaging Graph. Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, Larry Goldenberg, Mehdi Moradi
2015	J	`jnl`	Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 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
2015	—	`conf`	Characterization of aggressive prostate cancer using ultrasound RF time series. Computer-Aided Diagnosis Amir Khojaste, Farhad Imani, Mehdi Moradi, David M. Berman, D. Robert Siemens, Eric E. Sauerberi, Alexander H. Boag, Purang Abolmaesumi, Parvin Mousavi
2015	—	`conf`	Fracture detection in x-ray images through stacked random forests feature fusion. ISBI Yu Cao, Hongzhi Wang, Mehdi Moradi, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood
2015	—	`conf`	Multimodal classification of prostate tissue: a feasibility study on combining multiparametric MRI and ultrasound. Computer-Aided Diagnosis 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
2015	—	`conf`	Prostate cancer detection from model-free T1-weighted time series and diffusion imaging. Computer-Aided Diagnosis Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, S. Larry Goldenberg, Mehdi Moradi
2015	—	`conf`	Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets. MICCAI (1) Soheil Hor, Mehdi Moradi
2015	J	`jnl`	Ultrasound RF Time Series for Classification of Breast Lesions. IEEE Trans. Medical Imaging Nishant Uniyal, Hani Eskandari, Purang Abolmaesumi, Samira Sojoudi, Paula Gordon, Linda Warren, Robert N. Rohling, Septimiu E. Salcudean, Mehdi Moradi
2015	—	`conf`	Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) 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
2015	—	`conf`	Viewpoint Recognition in Cardiac CT Images. FIMH Mehdi Moradi, Noel C. F. Codella, Tanveer F. Syeda-Mahmood
2014	—	`conf`	Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate. Computer-Aided Diagnosis Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, S. Larry Goldenberg, Mehdi Moradi
2014	—	`conf`	Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors. MICCAI (1) Omid Mohareri, Angelica Ruszkowski, Julio Lobo, Joseph Ischia, Ali Baghani, Guy Nir, Hani Eskandari, Edward C. Jones, Ladan Fazli, Larry Goldenberg, Mehdi Moradi, Septimiu E. Salcudean
2014	—	`conf`	Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data. MLMI Hussam Al-Deen Ashab, Piotr Kozlowski, Larry Goldenberg, Mehdi Moradi
2014	—	`conf`	Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy. Image-Guided Procedures Adrian Wong, Samira Sojoudi, Marc Gaudet, Wan Wan Yap, Silvia D. Chang, Purang Abolmaesumi, Christina Aquino-Parsons, Mehdi Moradi
2014	—	`conf`	Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. CLIP@MICCAI 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
2013	J	`jnl`	Statistical unit root test for edge detection in ultrasound images of vessels and cysts. J. Electronic Imaging Mehdi Moradi, Seyedeh Sara Mahdavi, Julian Guerrero, Robert Rohling, Septimiu E. Salcudean
2013	—	`conf`	Ultrasound RF time series for tissue typing: first in vivo clinical results. Computer-Aided Diagnosis Mehdi Moradi, Seyedeh Sara Mahdavi, Guy Nir, Edward C. Jones, S. Larry Goldenberg, Septimiu E. Salcudean
2012	J	`jnl`	Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate. IEEE Trans. Medical Imaging Seyedeh Sara Mahdavi, Mehdi Moradi, William J. Morris, Larry Goldenberg, Septimiu E. Salcudean
2012	—	`conf`	MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. MLMI Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany
2012	J	`jnl`	Seed localization in Ultrasound and Registration to C-Arm Fluoroscopy Using Matched Needle Tracks for Prostate Brachytherapy. IEEE Trans. Biomed. Eng. Mehdi Moradi, Seyedeh Sara Mahdavi, Ehsan Dehghan, Julio Lobo, Sanchit Deshmukh, William James Morris, Gabor Fichtinger, Septimiu E. Salcudean
2012	—	`conf`	Two solutions for registration of ultrasound to MRI for image-guided prostate interventions. EMBC Mehdi Moradi, Firdaus Janoos, Andriy Fedorov, Petter Risholm, Tina Kapur, Luciant D. Wolfsberger, Paul L. Nguyen, Clare M. Tempany, William M. Wells III
2012	J	`jnl`	Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy. IEEE Trans. Medical Imaging Julio Lobo, Mehdi Moradi, Nick Chng, Ehsan Dehghan, William J. Morris, Gabor Fichtinger, Septimiu E. Salcudean
2011	—	`conf`	A Robotic System for Intra-operative Trans-Rectal Ultrasound and Ultrasound Elastography in Radical Prostatectomy. IPCAI Troy K. Adebar, Septimiu E. Salcudean, Seyedeh Sara Mahdavi, Mehdi Moradi, Christopher Y. Nguan, Larry Goldenberg
2011	J	`jnl`	Brachytherapy seed reconstruction with joint-encoded C-arm single-axis rotation and motion compensation. Medical Image Anal. Ehsan Dehghan, Ameet K. Jain, Mehdi Moradi, Xu Wen, William James Morris, Septimiu E. Salcudean, Gabor Fichtinger
2011	J	`jnl`	Evaluation of visualization of the prostate gland in vibro-elastography images. Medical Image Anal. Seyedeh Sara Mahdavi, Mehdi Moradi, Xu Wen, William J. Morris, Septimiu E. Salcudean
2011	—	`conf`	Quantifying Stranded Implant Displacement Following Prostate Brachytherapy. MICCAI (1) Julio Lobo, Mehdi Moradi, Nick Chng, Ehsan Dehghan, Gabor Fichtinger, William J. Morris, Septimiu E. Salcudean
2011	—	`conf`	Towards Intra-operative Prostate Brachytherapy Dosimetry Based on Partial Seed Localization in Ultrasound and Registration to C-arm Fluoroscopy. MICCAI (1) Mehdi Moradi, Seyedeh Sara Mahdavi, Sanchit Deshmukh, Julio Lobo, Ehsan Dehghan, Gabor Fichtinger, William J. Morris, Septimiu E. Salcudean
2010	—	`conf`	Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images. MICCAI (2) Seyedeh Sara Mahdavi, Mehdi Moradi, William J. Morris, Septimiu E. Salcudean
2010	J	`jnl`	High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Anal. James Monaco, John Tomaszewski, Michael D. Feldman, Ian S. Hagemann, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
2010	—	`conf`	Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation. MICCAI (1) Ehsan Dehghan, Junghoon Lee, Mehdi Moradi, Xu Wen, Gabor Fichtinger, Septimiu E. Salcudean
2009	J	`jnl`	Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series. IEEE Trans. Biomed. Eng. Mehdi Moradi, Purang Mousavi, Alexander Boag, Eric Sauerbrei, Robert Siemens, Purang Abolmaesumi
2009	—	`conf`	Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series. Computer-Aided Diagnosis Mohammad Aboofazeli, Purang Abolmaesumi, Mehdi Moradi, Eric Sauerbrei, Robert Siemens, Alexander Boag, Parvin Mousavi
2009	B	`conf`	Probabilistic pairwise Markov models: application to prostate cancer detection. Image Processing James Monaco, John Tomaszewski, Michael D. Feldman, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
2009	—	`conf`	Vibro-Elastography for Visualization of the Prostate Region: Method Evaluation. MICCAI (1) Seyedeh Sara Mahdavi, Mehdi Moradi, Xu Wen, William J. Morris, Septimiu E. Salcudean
2008	—	`—`	A New paradigm for Ultrasound-Based Tissue Typing in Prostate Cancer. Mehdi Moradi
2008	—	`conf`	Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers. MICCAI (1) Mehdi Moradi, Parvin Mousavi, Robert Siemens, Eric Sauerbrei, Alexander Boag, Purang Abolmaesumi
2007	—	`conf`	Tissue Characterization Using Fractal Dimension of High Frequency Ultrasound RF Time Series. MICCAI (2) Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi
2006	B	`conf`	Deformable registration using scale space keypoints. Image Processing Mehdi Moradi, Purang Abolmaesumi, Parvin Mousavi
2006	—	`conf`	Detection of Prostate Cancer from RF Ultrasound Echo Signals Using Fractal Analysis. EMBC Mehdi Moradi, Purang Abolmaesumi, Phillip A. Isotalo, Robert Siemens, Eric Sauerbrei, Parvin Mousavi
2006	J	`jnl`	New features for automatic classification of human chromosomes: A feasibility study. Pattern Recognit. Lett. Mehdi Moradi, Seyed Kamaledin Setarehdan
2003	B	`conf`	Automatic Locating the Centromere on Human Chromosome Pictures. CBMS Mehdi Moradi, Seyed Kamaledin Setarehdan, S. R. Ghaffari