Self-Supervised Learning for Drug Discovery Using Nematode Images: Method and Dataset. - Wang, Lyuyang; Chou, Sommer; Dehaghani, Mehrdad Eshraghi; Wright, Gerry; MacNeil, Lesley; Moradi, Mehdi (IEEE J. Biomed. Health Informatics, 2025)

Basis scaling and double pruning for efficient inference in network-based transfer learning. - Wong, Ken C. L.; Kashyap, Satyananda; Moradi, Mehdi (Pattern Recognit. Lett., 2024)

TriCC: Self-Supervised Contrastive Learning for Image-Based Antiparasitic Drug Discovery. - Wang, Lyuyang; Chou, Sommer; Wright, Gerry; MacNeil, Lesley; Moradi, Mehdi (2024)

Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection. - Dehaghani, Mehrdad Eshraghi; Sabour, Amirhossein; Madu, Amarachi B.; Lourentzou, Ismini; Moradi, Mehdi (2024)

Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images. - Mbakawe, Amarachi; Wang, Lyuyang; Moradi, Mehdi; Lourentzou, Ismini (2023)

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. - Jadhav, Ashutosh; Kashyap, Satyananda; Bulu, Hakan; Dholakia, Ronak; Syeda-Mahmood, Tanveer F.; Rangwala, Hussain; Moradi, Mehdi (2022)

3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. - Wong, Ken C. L.; Moradi, Mehdi (2022)

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays. - Karwande, Gaurang; Mbakawe, Amarachi; Wu, Joy T.; Celi, Leo A.; Moradi, Mehdi; Lourentzou, Ismini (2022)

A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography. - Kashyap, Satyananda; Bulu, Hakan; Jadhav, Ashutosh; Dholakia, Ronak; Liu, Amon Y.; Rangwala, Hussain; Patterson, William R.; Moradi, Mehdi (2022)

3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. - Wong, Ken C. L.; Moradi, Mehdi (CoRR, 2022)

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays. - Karwande, Gaurang; Mbakawe, Amarachi; Wu, Joy T.; Celi, Leo A.; Moradi, Mehdi; Lourentzou, Ismini (CoRR, 2022)

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. - Jadhav, Ashutosh; Kashyap, Satyananda; Bulu, Hakan; Dholakia, Ronak; Liu, Amon Y.; Syeda-Mahmood, Tanveer F.; Patterson, William R.; Rangwala, Hussain; Moradi, Mehdi (CoRR, 2022)

A deep community based approach for large scale content based X-ray image retrieval. - Haq, Nandinee Fariah; Moradi, Mehdi; Wang, Zhen Jane (Medical Image Anal., 2021)

Channel Scaling: A Scale-And-Select Approach For Transfer Learning. - Wong, Ken C. L.; Kashyap, Satyananda; Moradi, Mehdi (2021)

AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. - Agu, Nkechinyere N.; Wu, Joy T.; Chao, Hanqing; Lourentzou, Ismini; Sharma, Arjun; Moradi, Mehdi; Yan, Pingkun; Hendler, James A. (2021)

Chest ImaGenome Dataset for Clinical Reasoning. - Wu, Joy T.; Agu, Nkechinyere; Lourentzou, Ismini; Sharma, Arjun; Paguio, Joseph Alexander; Yao, Jasper Seth; Dee, Edward C.; Mitchell, William; Kashyap, Satyananda; Giovannini, Andrea; Celi, Leo Anthony; Moradi, Mehdi (2021)

Channel Scaling: A Scale-and-Select Approach for Transfer Learning. - Wong, Ken C. L.; Kashyap, Satyananda; Moradi, Mehdi (CoRR, 2021)

AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray. - Agu, Nkechinyere N.; Wu, Joy T.; Chao, Hanqing; Lourentzou, Ismini; Sharma, Arjun; Moradi, Mehdi; Yan, Pingkun; Hendler, James A. (CoRR, 2021)

Chest ImaGenome Dataset for Clinical Reasoning. - Wu, Joy T.; Agu, Nkechinyere N.; Lourentzou, Ismini; Sharma, Arjun; Paguio, Joseph A.; Yao, Jasper S.; Dee, Edward C.; Mitchell, William; Kashyap, Satyananda; Giovannini, Andrea; Celi, Leo A.; Moradi, Mehdi (CoRR, 2021)

Basis Scaling and Double Pruning for Efficient Transfer Learning. - Wong, Ken C. L.; Kashyap, Satyananda; Moradi, Mehdi (CoRR, 2021)

Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. - Jadhav, Ashutosh; Wong, Ken C. L.; Wu, Joy T.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2020)

AI Accelerated Human-in-the-loop Structuring of Radiology Reports. - Wu, Joy T.; Syed, Ali Bin; Ahmad, Hassan M.; Pillai, Anup; Gur, Yaniv; Jadhav, Ashutosh; Gruhl, Daniel F.; Kato, Linda; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2020)

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. - Wu, Joy T.; Gur, Yaniv; Karargyris, Alexandros; Syed, Ali Bin; Boyko, Orest B.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2020)

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. - Kashyap, Satyananda; Karargyris, Alexandros; Wu, Joy T.; Gur, Yaniv; Sharma, Arjun; Wong, Ken C. L.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2020)

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. - Wong, Ken C. L.; Moradi, Mehdi; Wu, Joy T.; Pillai, Anup; Sharma, Arjun; Gur, Yaniv; Ahmad, Hassan M.; Chowdary, Minnekanti Sunil; J, Chiranjeevi; Polaka, Kiran Kumar Reddy; Wunnava, Venkateswar; Reddy, D. C.; et al. (2020)

Quality controlled segmentation to aid disease detection. - Moradi, Mehdi; Wong, Ken C. L.; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F. (2020)

Chest X-Ray Report Generation Through Fine-Grained Label Learning. - Syeda-Mahmood, Tanveer F.; Wong, Ken C. L.; Gur, Yaniv; Wu, Joy T.; Jadhav, Ashutosh; Kashyap, Satyananda; Karargyris, Alexandros; Pillai, Anup; Sharma, Arjun; Syed, Ali Bin; Boyko, Orest B.; Moradi, Mehdi (2020)

Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. - Ghimire, Sandesh; Kashyap, Satyananda; Wu, Joy T.; Karargyris, Alexandros; Moradi, Mehdi (2020)

Chest X-ray Report Generation through Fine-Grained Label Learning. - Syeda-Mahmood, Tanveer F.; Wong, Ken C. L.; Gur, Yaniv; Wu, Joy T.; Jadhav, Ashutosh; Kashyap, Satyananda; Karargyris, Alexandros; Pillai, Anup; Sharma, Arjun; Syed, Ali Bin; Boyko, Orest B.; Moradi, Mehdi (CoRR, 2020)

Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. - Kashyap, Satyananda; Karargyris, Alexandros; Wu, Joy T.; Gur, Yaniv; Sharma, Arjun; Wong, Ken C. L.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (CoRR, 2020)

Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. - Ghimire, Sandesh; Kashyap, Satyananda; Wu, Joy T.; Karargyris, Alexandros; Moradi, Mehdi (CoRR, 2020)

Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. - Karargyris, Alexandros; Kashyap, Satyananda; Lourentzou, Ismini; Wu, Joy T.; Sharma, Arjun; Tong, Matthew; Abedin, Shafiq; Beymer, David; Mukherjee, Vandana V.; Krupinski, Elizabeth A.; Moradi, Mehdi (CoRR, 2020)

Community structure detection from networks with weighted modularity. - Haq, Nandinee Fariah; Moradi, Mehdi; Wang, Z. Jane (Pattern Recognit. Lett., 2019)

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. - Syeda-Mahmood, Tanveer F.; Ahmad, Hassan M.; Ansari, Nadeem; Gur, Yaniv; Kashyap, Satyananda; Karargyris, Alexandros; Moradi, Mehdi; Pillai, Anup; Seshadhri, K.; Wang, Weiting; Wong, Ken C. L.; Wu, Joy T. (2019)

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. - Karargyris, Alexandros; Wong, Ken C. L.; Wu, Joy T.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2019)

Identifying disease-free chest x-ray images with deep transfer learning. - Wong, Ken C. L.; Moradi, Mehdi; Wu, Joy T.; Syeda-Mahmood, Tanveer F. (2019)

Age prediction using a large chest x-ray dataset. - Karargyris, Alexandros; Kashyap, Satyananda; Wu, Joy T.; Sharma, Arjun; Moradi, Mehdi; Syeda-Mahmood, Tanveer Fathima (2019)

Artificial intelligence for point of care radiograph quality assessment. - Kashyap, Satyananda; Moradi, Mehdi; Karargyris, Alexandros; Wu, Joy T.; Morris, Michael; Saboury, Babak; Siegel, Eliot L.; Syeda-Mahmood, Tanveer F. (2019)

SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. - Wong, Ken C. L.; Moradi, Mehdi (2019)

Body part and imaging modality classification for a general radiology cognitive assistant. - Agunwa, Chinyere; Moradi, Mehdi; Wong, Ken C. L.; Syeda-Mahmood, Tanveer F. (2019)

Age prediction using a large chest X-ray dataset. - Karargyris, Alexandros; Kashyap, Satyananda; Wu, Joy T.; Sharma, Arjun; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (CoRR, 2019)

Identifying disease-free chest X-ray images with deep transfer learning. - Wong, Ken C. L.; Moradi, Mehdi; Wu, Joy T.; Syeda-Mahmood, Tanveer F. (CoRR, 2019)

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. - Syeda-Mahmood, Tanveer F.; Ahmad, Hassan M.; Ansari, Nadeem; Gur, Yaniv; Kashyap, Satyananda; Karargyris, Alexandros; Moradi, Mehdi; Pillai, Anup; Sheshadri, Karthik; Wang, Weiting; Wong, Ken C. L.; Wu, Joy T. (CoRR, 2019)

Boosting the rule-out accuracy of deep disease detection using class weight modifiers. - Karargyris, Alexandros; Wong, Ken C. L.; Wu, Joy T.; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (CoRR, 2019)

SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. - Wong, Ken C. L.; Moradi, Mehdi (CoRR, 2019)

Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach. - Heidari, Alireza; Moradi, Mehdi; Aslani, Alireza; Hajinezhad, Ahmad (Int. J. Energy Optim. Eng., 2018)

Building medical image classifiers with very limited data using segmentation networks. - Wong, Ken C. L.; Syeda-Mahmood, Tanveer F.; Moradi, Mehdi (Medical Image Anal., 2018)

Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior. - Veni, Gopalkrishna; Moradi, Mehdi; Bulu, Hakan; Narayan, Girish; Syeda-Mahmood, Tanveer F. (2018)

Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. - Madani, Ali; Moradi, Mehdi; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F. (2018)

Detecting anomalies from echocardiography using multi-view regression of clinical measurements. - Lu, Allen; Dehghan, Ehsan; Veni, Gopalkrishna; Moradi, Mehdi; Syeda-Mahmood, Tanveer F. (2018)

A Genetic Algorithm Hybridized with an Efficient Mutation Operator for Identifying Hidden Communities of Complex Networks. - Moradi, Mehdi; Parsa, Saeed (2018)

Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. - Tang, Hui; Moradi, Mehdi; Wong, Ken C. L.; Wang, Hongzhi; Harouni, Ahmed El; Syeda-Mahmood, Tanveer F. (2018)

Bimodal Network Architectures for Automatic Generation of Image Annotation from Text. - Moradi, Mehdi; Madani, Ali; Gur, Yaniv; Guo, Yufan; Syeda-Mahmood, Tanveer F. (2018)

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. - Wong, Ken C. L.; Moradi, Mehdi; Tang, Hui; Syeda-Mahmood, Tanveer F. (2018)

Chest x-ray generation and data augmentation for cardiovascular abnormality classification. - Madani, Ali; Moradi, Mehdi; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F. (2018)

Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. - Tang, Hui; Moradi, Mehdi; Harouni, Ahmed El; Wang, Hongzhi; Veni, Gopalkrishna; Prasanna, Prasanth; Syeda-Mahmood, Tanveer F. (2018)

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 (Springer, 2018)

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. - Wong, Ken C. L.; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F.; Moradi, Mehdi (CoRR, 2018)

Building medical image classifiers with very limited data using segmentation networks. - Wong, Ken C. L.; Syeda-Mahmood, Tanveer F.; Moradi, Mehdi (CoRR, 2018)

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. - Wong, Ken C. L.; Moradi, Mehdi; Tang, Hui; Syeda-Mahmood, Tanveer Fathima (CoRR, 2018)

Bimodal network architectures for automatic generation of image annotation from text. - Moradi, Mehdi; Madani, Ali; Gur, Yaniv; Guo, Yufan; Syeda-Mahmood, Tanveer F. (CoRR, 2018)

An algorithm for fully automatic detection of calcium in chest CT imaging. - Tang, Hui; Moradi, Mehdi; Prasanna, Prasanth; Wang, Hongzhi; Syeda-Mahmood, Tanveer F. (2017)

Automatic labeling of continuous wave Doppler images based on combined image and sentence networks. - Moradi, Mehdi; Guo, Yufan; Gur, Yaniv; Syeda-Mahmood, Tanveer F. (2017)

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

Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies. - Gur, Yaniv; Moradi, Mehdi; Bulu, Hakan; Guo, Yufan; Compas, Colin B.; Syeda-Mahmood, Tanveer F. (2017)

A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. - Wang, Hongzhi; Moradi, Mehdi; Gur, Yaniv; Prasanna, Prasanth; Syeda-Mahmood, Tanveer F. (2017)

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. - Wong, Ken C. L.; Karargyris, Alexandros; Syeda-Mahmood, Tanveer F.; Moradi, Mehdi (2017)

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 (Springer, 2017)

Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features. - Hor, Soheil; Moradi, Mehdi (Medical Image Anal., 2016)

False discovery rate controller for functional brain parcellation. - Wong, Adrian; McKeown, Martin J.; Moradi, Mehdi; Wang, Z. Jane (2016)

A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. - Moradi, Mehdi; Gur, Yaniv; Wang, Hongzhi; Prasanna, Prasanth; Syeda-Mahmood, Tanveer F. (2016)

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

Tree-Based Transforms for Privileged Learning. - Moradi, Mehdi; Syeda-Mahmood, Tanveer F.; Hor, Soheil (2016)

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

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

Lymphoma diagnosis in histopathology using a multi-stage visual learning approach. - Codella, Noel C. F.; Moradi, Mehdi; Matasar, Matt; Syeda-Mahmood, Tanveer F.; Smith, John R. (2016)

Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. - Imani, Farhad; Zhuang, Bo; Tahmasebi, Amir M.; Kwak, Jin Tae; Xu, Sheng; Agarwal, Harsh K.; Bharat, Shyam; Uniyal, Nishant; Turkbey, Ismail Baris; Choyke, Peter L.; Pinto, Peter A.; Wood, Bradford J.; et al. (Int. J. Comput. Assist. Radiol. Surg., 2015)

A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI. - Haq, Nandinee Fariah; Kozlowski, Piotr; Jones, Edward C.; Chang, Silvia D.; Goldenberg, Larry; Moradi, Mehdi (Comput. Medical Imaging Graph., 2015)

Ultrasound RF Time Series for Classification of Breast Lesions. - Uniyal, Nishant; Eskandari, Hani; Abolmaesumi, Purang; Sojoudi, Samira; Gordon, Paula; Warren, Linda; Rohling, Robert N.; Salcudean, Septimiu E.; Moradi, Mehdi (IEEE Trans. Medical Imaging, 2015)

Viewpoint Recognition in Cardiac CT Images. - Moradi, Mehdi; Codella, Noel C. F.; Syeda-Mahmood, Tanveer F. (2015)

Fracture detection in x-ray images through stacked random forests feature fusion. - Cao, Yu; Wang, Hongzhi; Moradi, Mehdi; Prasanna, Prasanth; Syeda-Mahmood, Tanveer Fathima (2015)

Multimodal classification of prostate tissue: a feasibility study on combining multiparametric MRI and ultrasound. - Ashab, Hussam Al-Deen; Haq, Nandinee Fariah; Nir, Guy; Kozlowski, Piotr; Black, Peter C.; Jones, Edward C.; Goldenberg, S. Larry; Salcudean, Septimiu E.; Moradi, Mehdi (2015)

Characterization of aggressive prostate cancer using ultrasound RF time series. - Khojaste, Amir; Imani, Farhad; Moradi, Mehdi; Berman, David M.; Siemens, D. Robert; Sauerberi, Eric E.; Boag, Alexander H.; Abolmaesumi, Purang; Mousavi, Parvin (2015)

Prostate cancer detection from model-free T1-weighted time series and diffusion imaging. - Haq, Nandinee Fariah; Kozlowski, Piotr; Jones, Edward C.; Chang, Silvia D.; Goldenberg, S. Larry; Moradi, Mehdi (2015)

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. - Azizi, Shekoofeh; Imani, Farhad; Zhuang, Bo; Tahmasebi, Amir M.; Kwak, Jin Tae; Xu, Sheng; Uniyal, Nishant; Turkbey, Baris; Choyke, Peter L.; Pinto, Peter A.; Wood, Bradford J.; Moradi, Mehdi; et al. (2015)

Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets. - Hor, Soheil; Moradi, Mehdi (2015)

Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate. - Haq, Nandinee Fariah; Kozlowski, Piotr; Jones, Edward C.; Chang, Silvia D.; Goldenberg, S. Larry; Moradi, Mehdi (2014)

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. - Uniyal, Nishant; Imani, Farhad; Tahmasebi, Amir M.; Agarwal, Harsh K.; Bharat, Shyam; Yan, Pingkun; Kruecker, Jochen; Kwak, Jin Tae; Xu, Sheng; Wood, Bradford J.; Pinto, Peter A.; Turkbey, Baris; et al. (2014)

Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data. - Ashab, Hussam Al-Deen; Kozlowski, Piotr; Goldenberg, Larry; Moradi, Mehdi (2014)

Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors. - Mohareri, Omid; Ruszkowski, Angelica; Lobo, Julio; Ischia, Joseph; Baghani, Ali; Nir, Guy; Eskandari, Hani; Jones, Edward C.; Fazli, Ladan; Goldenberg, Larry; Moradi, Mehdi; Salcudean, Septimiu E. (2014)

Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy. - Wong, Adrian; Sojoudi, Samira; Gaudet, Marc; Yap, Wan Wan; Chang, Silvia D.; Abolmaesumi, Purang; Aquino-Parsons, Christina; Moradi, Mehdi (2014)

Statistical unit root test for edge detection in ultrasound images of vessels and cysts. - Moradi, Mehdi; Mahdavi, Seyedeh Sara; Guerrero, Julian; Rohling, Robert; Salcudean, Septimiu E. (J. Electronic Imaging, 2013)

Ultrasound RF time series for tissue typing: first in vivo clinical results. - Moradi, Mehdi; Mahdavi, Seyedeh Sara; Nir, Guy; Jones, Edward C.; Goldenberg, S. Larry; Salcudean, Septimiu E. (2013)

Seed localization in Ultrasound and Registration to C-Arm Fluoroscopy Using Matched Needle Tracks for Prostate Brachytherapy. - Moradi, Mehdi; Mahdavi, Seyedeh Sara; Dehghan, Ehsan; Lobo, Julio; Deshmukh, Sanchit; Morris, William James; Fichtinger, Gabor; Salcudean, Septimiu E. (IEEE Trans. Biomed. Eng., 2012)

Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy. - Lobo, Julio; Moradi, Mehdi; Chng, Nick; Dehghan, Ehsan; Morris, William J.; Fichtinger, Gabor; Salcudean, Septimiu E. (IEEE Trans. Medical Imaging, 2012)

Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate. - Mahdavi, Seyedeh Sara; Moradi, Mehdi; Morris, William J.; Goldenberg, Larry; Salcudean, Septimiu E. (IEEE Trans. Medical Imaging, 2012)

Two solutions for registration of ultrasound to MRI for image-guided prostate interventions. - Moradi, Mehdi; Janoos, Firdaus; Fedorov, Andriy; Risholm, Petter; Kapur, Tina; Wolfsberger, Luciant D.; Nguyen, Paul L.; Tempany, Clare M.; Wells, William M., III (2012)

MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. - Moradi, Mehdi; Wachinger, Christian; Fedorov, Andriy; Wells, William M., III; Kapur, Tina; Wolfsberger, Luciant D.; Nguyen, Paul; Tempany, Clare M. (2012)

Evaluation of visualization of the prostate gland in vibro-elastography images. - Mahdavi, Seyedeh Sara; Moradi, Mehdi; Wen, Xu; Morris, William J.; Salcudean, Septimiu E. (Medical Image Anal., 2011)

Brachytherapy seed reconstruction with joint-encoded C-arm single-axis rotation and motion compensation. - Dehghan, Ehsan; Jain, Ameet K.; Moradi, Mehdi; Wen, Xu; Morris, William James; Salcudean, Septimiu E.; Fichtinger, Gabor (Medical Image Anal., 2011)

A Robotic System for Intra-operative Trans-Rectal Ultrasound and Ultrasound Elastography in Radical Prostatectomy. - Adebar, Troy K.; Salcudean, Septimiu E.; Mahdavi, Seyedeh Sara; Moradi, Mehdi; Nguan, Christopher Y.; Goldenberg, Larry (2011)

Towards Intra-operative Prostate Brachytherapy Dosimetry Based on Partial Seed Localization in Ultrasound and Registration to C-arm Fluoroscopy. - Moradi, Mehdi; Mahdavi, Seyedeh Sara; Deshmukh, Sanchit; Lobo, Julio; Dehghan, Ehsan; Fichtinger, Gabor; Morris, William J.; Salcudean, Septimiu E. (2011)

Quantifying Stranded Implant Displacement Following Prostate Brachytherapy. - Lobo, Julio; Moradi, Mehdi; Chng, Nick; Dehghan, Ehsan; Fichtinger, Gabor; Morris, William J.; Salcudean, Septimiu E. (2011)

High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. - Monaco, James; Tomaszewski, John; Feldman, Michael D.; Hagemann, Ian S.; Moradi, Mehdi; Mousavi, Parvin; Boag, Alexander; Davidson, Chris; Abolmaesumi, Purang; Madabhushi, Anant (Medical Image Anal., 2010)

Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images. - Mahdavi, Seyedeh Sara; Moradi, Mehdi; Morris, William J.; Salcudean, Septimiu E. (2010)

Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation. - Dehghan, Ehsan; Lee, Junghoon; Moradi, Mehdi; Wen, Xu; Fichtinger, Gabor; Salcudean, Septimiu E. (2010)

Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series. - Moradi, Mehdi; Mousavi, Purang; Boag, Alexander; Sauerbrei, Eric; Siemens, Robert; Abolmaesumi, Purang (IEEE Trans. Biomed. Eng., 2009)

Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series. - Aboofazeli, Mohammad; Abolmaesumi, Purang; Moradi, Mehdi; Sauerbrei, Eric; Siemens, Robert; Boag, Alexander; Mousavi, Parvin (2009)

Vibro-Elastography for Visualization of the Prostate Region: Method Evaluation. - Mahdavi, Seyedeh Sara; Moradi, Mehdi; Wen, Xu; Morris, William J.; Salcudean, Septimiu E. (2009)

Probabilistic pairwise Markov models: application to prostate cancer detection. - Monaco, James; Tomaszewski, John; Feldman, Michael D.; Moradi, Mehdi; Mousavi, Parvin; Boag, Alexander; Davidson, Chris; Abolmaesumi, Purang; Madabhushi, Anant (2009)

A New paradigm for Ultrasound-Based Tissue Typing in Prostate Cancer. - Moradi, Mehdi (2008)

Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers. - Moradi, Mehdi; Mousavi, Parvin; Siemens, Robert; Sauerbrei, Eric; Boag, Alexander; Abolmaesumi, Purang (2008)

Tissue Characterization Using Fractal Dimension of High Frequency Ultrasound RF Time Series. - Moradi, Mehdi; Mousavi, Parvin; Abolmaesumi, Purang (2007)

New features for automatic classification of human chromosomes: A feasibility study. - Moradi, Mehdi; Setarehdan, Seyed Kamaledin (Pattern Recognit. Lett., 2006)

Detection of Prostate Cancer from RF Ultrasound Echo Signals Using Fractal Analysis. - Moradi, Mehdi; Abolmaesumi, Purang; Isotalo, Phillip A.; Siemens, Robert; Sauerbrei, Eric; Mousavi, Parvin (2006)

Deformable registration using scale space keypoints. - Moradi, Mehdi; Abolmaesumi, Purang; Mousavi, Parvin (2006)

Automatic Locating the Centromere on Human Chromosome Pictures. - Moradi, Mehdi; Setarehdan, Seyed Kamaledin; Ghaffari, S. R. (2003)