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

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

TriCC: Self-Supervised Contrastive Learning for Image-Based Antiparasitic Drug Discovery - Lyuyang Wang; Sommer Chou; Gerry Wright; Lesley MacNeil; Mehdi Moradi (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection - Mehrdad Eshraghi Dehaghani; Amirhossein Sabour; Amarachi B. Madu; Ismini Lourentzou; Mehdi Moradi (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I, 2024)

Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images - Amarachi Mbakawe; Lyuyang Wang; Mehdi Moradi; Ismini Lourentzou (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V, 2023)

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms - Ashutosh Jadhav; Satyananda Kashyap; Hakan Bulu; Ronak Dholakia; Tanveer F. Syeda-Mahmood; Hussain Rangwala; Mehdi Moradi (AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient - Ken C. L. Wong; Mehdi Moradi (Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays - Gaurang Karwande; Amarachi Mbakawe; Joy T. Wu; Leo A. Celi; Mehdi Moradi; Ismini Lourentzou (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I, 2022)

A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography - Satyananda Kashyap; Hakan Bulu; Ashutosh Jadhav; Ronak Dholakia; Amon Y. Liu; Hussain Rangwala; William R. Patterson; Mehdi Moradi (Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022, 2022)

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

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

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

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

Channel Scaling: A Scale-And-Select Approach For Transfer Learning - Ken C. L. Wong; Satyananda Kashyap; Mehdi Moradi (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray - Nkechinyere N. Agu; Joy T. Wu; Hanqing Chao; Ismini Lourentzou; Arjun Sharma; Mehdi Moradi; Pingkun Yan; James A. Hendler (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V, 2021)

Chest ImaGenome Dataset for Clinical Reasoning - 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 (Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021)

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

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

Chest ImaGenome Dataset for Clinical Reasoning - 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 (CoRR, 2021)

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

Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection - Ashutosh Jadhav; Ken C. L. Wong; Joy T. Wu; Mehdi Moradi; Tanveer F. Syeda-Mahmood (AMIA 2020, American Medical Informatics Association Annual Symposium, Virtual Event, USA, November 14-18, 2020, 2020)

AI Accelerated Human-in-the-loop Structuring of Radiology Reports - 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 (AMIA 2020, American Medical Informatics Association Annual Symposium, Virtual Event, USA, November 14-18, 2020, 2020)

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities - Joy T. Wu; Yaniv Gur; Alexandros Karargyris; Ali Bin Syed; Orest B. Boyko; Mehdi Moradi; Tanveer F. Syeda-Mahmood (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning - Satyananda Kashyap; Alexandros Karargyris; Joy T. Wu; Yaniv Gur; Arjun Sharma; Ken C. L. Wong; Mehdi Moradi; Tanveer F. Syeda-Mahmood (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs - 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; et al. (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Quality controlled segmentation to aid disease detection - Mehdi Moradi; Ken C. L. Wong; Alexandros Karargyris; Tanveer F. Syeda-Mahmood (Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020, 2020)

Chest X-Ray Report Generation Through Fine-Grained Label Learning - 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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II, 2020)

Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets - Sandesh Ghimire; Satyananda Kashyap; Joy T. Wu; Alexandros Karargyris; Mehdi Moradi (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Chest X-ray Report Generation through Fine-Grained Label Learning - 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 (CoRR, 2020)

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

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

Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development - 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 (CoRR, 2020)

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

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays - 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 (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers - Alexandros Karargyris; Ken C. L. Wong; Joy T. Wu; Mehdi Moradi; Tanveer F. Syeda-Mahmood (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Identifying disease-free chest x-ray images with deep transfer learning - Ken C. L. Wong; Mehdi Moradi; Joy T. Wu; Tanveer F. Syeda-Mahmood (Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019, 2019)

Age prediction using a large chest x-ray dataset - Alexandros Karargyris; Satyananda Kashyap; Joy T. Wu; Arjun Sharma; Mehdi Moradi; Tanveer Fathima Syeda-Mahmood (Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019, 2019)

Artificial intelligence for point of care radiograph quality assessment - Satyananda Kashyap; Mehdi Moradi; Alexandros Karargyris; Joy T. Wu; Michael Morris; Babak Saboury; Eliot L. Siegel; Tanveer F. Syeda-Mahmood (Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, California, United States, 16-21 February 2019, 2019)

SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation - Ken C. L. Wong; Mehdi Moradi (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III, 2019)

Body part and imaging modality classification for a general radiology cognitive assistant - Chinyere Agunwa; Mehdi Moradi; Ken C. L. Wong; Tanveer F. Syeda-Mahmood (Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019, 2019)

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

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

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays - 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 (CoRR, 2019)

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

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

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

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

Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior - Gopalkrishna Veni; Mehdi Moradi; Hakan Bulu; Girish Narayan; Tanveer F. Syeda-Mahmood (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation - Ali Madani; Mehdi Moradi; Alexandros Karargyris; Tanveer F. Syeda-Mahmood (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

Detecting anomalies from echocardiography using multi-view regression of clinical measurements - Allen Lu; Ehsan Dehghan; Gopalkrishna Veni; Mehdi Moradi; Tanveer F. Syeda-Mahmood (15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018, 2018)

A Genetic Algorithm Hybridized with an Efficient Mutation Operator for Identifying Hidden Communities of Complex Networks - Mehdi Moradi; Saeed Parsa (9th International Symposium on Telecommunications, IST 2018, Tehran, Iran, December 17-19, 2018, 2018)

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

Bimodal Network Architectures for Automatic Generation of Image Annotation from Text - Mehdi Moradi; Ali Madani; Yaniv Gur; Yufan Guo; Tanveer F. Syeda-Mahmood (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I, 2018)

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes - Ken C. L. Wong; Mehdi Moradi; Hui Tang; Tanveer F. Syeda-Mahmood (Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III, 2018)

Chest x-ray generation and data augmentation for cardiovascular abnormality classification - Ali Madani; Mehdi Moradi; Alexandros Karargyris; Tanveer F. Syeda-Mahmood (Medical Imaging 2018: Image Processing, Houston, Texas, United States, 10-15 February 2018, 2018)

Segmentation of anatomical structures in cardiac CTA using multi-label V-Net - Hui Tang; Mehdi Moradi; Ahmed El Harouni; Hongzhi Wang; Gopalkrishna Veni; Prasanth Prasanna; Tanveer F. Syeda-Mahmood (Medical Imaging 2018: Image Processing, Houston, Texas, United States, 10-15 February 2018, 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 - 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; et al. (Springer, 2018)

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

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

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

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

An algorithm for fully automatic detection of calcium in chest CT imaging - Hui Tang; Mehdi Moradi; Prasanth Prasanna; Hongzhi Wang; Tanveer F. Syeda-Mahmood (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

Automatic labeling of continuous wave Doppler images based on combined image and sentence networks - Mehdi Moradi; Yufan Guo; Yaniv Gur; Tanveer F. Syeda-Mahmood (14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017, 2017)

Automatic extraction of disease-specific features from Doppler images - Mohammadreza Negahdar; Mehdi Moradi; Nripesh Parajuli; Tanveer F. Syeda-Mahmood (Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017, 2017)

Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies - Yaniv Gur; Mehdi Moradi; Hakan Bulu; Yufan Guo; Colin B. Compas; Tanveer F. Syeda-Mahmood (Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings, 2017)

A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification - Hongzhi Wang; Mehdi Moradi; Yaniv Gur; Prasanth Prasanna; Tanveer F. Syeda-Mahmood (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 2017)

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples - Ken C. L. Wong; Alexandros Karargyris; Tanveer F. Syeda-Mahmood; Mehdi Moradi (Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III, 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 - 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; et al. (Springer, 2017)

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

False discovery rate controller for functional brain parcellation - Adrian Wong; Martin J. McKeown; Mehdi Moradi; Z. Jane Wang (2016 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2016, Vancouver, BC, Canada, May 15-18, 2016, 2016)

A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position - Mehdi Moradi; Yaniv Gur; Hongzhi Wang; Prasanth Prasanna; Tanveer F. Syeda-Mahmood (13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016, 2016)

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; Mohammadreza Negahdar; Yu Cao; Tyler Baldwin; et al. (Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016, 2016)

Tree-Based Transforms for Privileged Learning - Mehdi Moradi; Tanveer F. Syeda-Mahmood; Soheil Hor (Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings, 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 (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III, 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 (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II, 2016)

Lymphoma diagnosis in histopathology using a multi-stage visual learning approach - Noel C. F. Codella; Mehdi Moradi; Matt Matasar; Tanveer F. Syeda-Mahmood; John R. Smith (Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February - 3 March 2016, 2016)

Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study - 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; et al. (Int. J. Comput. Assist. Radiol. Surg., 2015)

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

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

Viewpoint Recognition in Cardiac CT Images - Mehdi Moradi; Noel C. F. Codella; Tanveer F. Syeda-Mahmood (Functional Imaging and Modeling of the Heart - 8th International Conference, FIMH 2015, Maastricht, The Netherlands, June 25-27, 2015. Proceedings, 2015)

Fracture detection in x-ray images through stacked random forests feature fusion - Yu Cao; Hongzhi Wang; Mehdi Moradi; Prasanth Prasanna; Tanveer Fathima Syeda-Mahmood (12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA, April 16-19, 2015, 2015)

Multimodal classification of prostate tissue: a feasibility study on combining multiparametric MRI and ultrasound - 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 (Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, 21-26 February 2015, 2015)

Characterization of aggressive prostate cancer using ultrasound RF time series - Amir Khojaste; Farhad Imani; Mehdi Moradi; David M. Berman; D. Robert Siemens; Eric E. Sauerberi; Alexander H. Boag; Purang Abolmaesumi; Parvin Mousavi (Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, 21-26 February 2015, 2015)

Prostate cancer detection from model-free T1-weighted time series and diffusion imaging - Nandinee Fariah Haq; Piotr Kozlowski; Edward C. Jones; Silvia D. Chang; S. Larry Goldenberg; Mehdi Moradi (Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, 21-26 February 2015, 2015)

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks - 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; et al. (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part II, 2015)

Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets - Soheil Hor; Mehdi Moradi (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5-9, 2015, Proceedings, Part I, 2015)

Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate - Nandinee Fariah Haq; Piotr Kozlowski; Edward C. Jones; Silvia D. Chang; S. Larry Goldenberg; Mehdi Moradi (Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, United States, 15-20 February 2014, 2014)

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy - 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; et al. (Clinical Image-Based Procedures. Translational Research in Medical Imaging - Third International Workshop, CLIP 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Revised Selected Papers, 2014)

Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data - Hussam Al-Deen Ashab; Piotr Kozlowski; Larry Goldenberg; Mehdi Moradi (Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings, 2014)

Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors - 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 (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I, 2014)

Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy - Adrian Wong; Samira Sojoudi; Marc Gaudet; Wan Wan Yap; Silvia D. Chang; Purang Abolmaesumi; Christina Aquino-Parsons; Mehdi Moradi (Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 15-20 February 2014, 2014)

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

Ultrasound RF time series for tissue typing: first in vivo clinical results - Mehdi Moradi; Seyedeh Sara Mahdavi; Guy Nir; Edward C. Jones; S. Larry Goldenberg; Septimiu E. Salcudean (Medical Imaging 2013: Computer-Aided Diagnosis, Lake Buena Vista (Orlando Area), Florida, United States, 9-14 February 2013, 2013)

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

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

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

Two solutions for registration of ultrasound to MRI for image-guided prostate interventions - Mehdi Moradi; Firdaus Janoos; Andriy Fedorov; Petter Risholm; Tina Kapur; Luciant D. Wolfsberger; Paul L. Nguyen; Clare M. Tempany; William M. Wells III (Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012, San Diego, CA, USA, August 28 - September 1, 2012, 2012)

MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra - Mehdi Moradi; Christian Wachinger; Andriy Fedorov; William M. Wells III; Tina Kapur; Luciant D. Wolfsberger; Paul Nguyen; Clare M. Tempany (Machine Learning in Medical Imaging - Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers, 2012)

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

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

A Robotic System for Intra-operative Trans-Rectal Ultrasound and Ultrasound Elastography in Radical Prostatectomy - Troy K. Adebar; Septimiu E. Salcudean; Seyedeh Sara Mahdavi; Mehdi Moradi; Christopher Y. Nguan; Larry Goldenberg (Information Processing in Computer-Assisted Interventions - Second International Conference, IPCAI 2011, Berlin, Germany, June 22, 2011. Proceedings, 2011)

Towards Intra-operative Prostate Brachytherapy Dosimetry Based on Partial Seed Localization in Ultrasound and Registration to C-arm Fluoroscopy - Mehdi Moradi; Seyedeh Sara Mahdavi; Sanchit Deshmukh; Julio Lobo; Ehsan Dehghan; Gabor Fichtinger; William J. Morris; Septimiu E. Salcudean (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part I, 2011)

Quantifying Stranded Implant Displacement Following Prostate Brachytherapy - Julio Lobo; Mehdi Moradi; Nick Chng; Ehsan Dehghan; Gabor Fichtinger; William J. Morris; Septimiu E. Salcudean (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011 - 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part I, 2011)

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

Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images - Seyedeh Sara Mahdavi; Mehdi Moradi; William J. Morris; Septimiu E. Salcudean (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II, 2010)

Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation - Ehsan Dehghan; Junghoon Lee; Mehdi Moradi; Xu Wen; Gabor Fichtinger; Septimiu E. Salcudean (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I, 2010)

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

Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series - Mohammad Aboofazeli; Purang Abolmaesumi; Mehdi Moradi; Eric Sauerbrei; Robert Siemens; Alexander Boag; Parvin Mousavi (Medical Imaging 2009: Computer-Aided Diagnosis, Lake Buena Vista (Orlando Area), Florida, United States, 7-12 February 2009, 2009)

Vibro-Elastography for Visualization of the Prostate Region: Method Evaluation - Seyedeh Sara Mahdavi; Mehdi Moradi; Xu Wen; William J. Morris; Septimiu E. Salcudean (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II, 2009)

Probabilistic pairwise Markov models: application to prostate cancer detection - James Monaco; John Tomaszewski; Michael D. Feldman; Mehdi Moradi; Parvin Mousavi; Alexander Boag; Chris Davidson; Purang Abolmaesumi; Anant Madabhushi (Medical Imaging 2009: Image Processing, Lake Buena Vista (Orlando Area), Florida, United States, 7-12 February 2009, 2009)

A New paradigm for Ultrasound-Based Tissue Typing in Prostate Cancer - Mehdi Moradi (Queen's University at Kingston, Ontario, Canada, 2008)

Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers - Mehdi Moradi; Parvin Mousavi; Robert Siemens; Eric Sauerbrei; Alexander Boag; Purang Abolmaesumi (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I, 2008)

Tissue Characterization Using Fractal Dimension of High Frequency Ultrasound RF Time Series - Mehdi Moradi; Parvin Mousavi; Purang Abolmaesumi (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II, 2007)

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

Detection of Prostate Cancer from RF Ultrasound Echo Signals Using Fractal Analysis - Mehdi Moradi; Purang Abolmaesumi; Phillip A. Isotalo; Robert Siemens; Eric Sauerbrei; Parvin Mousavi (28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2006, New York City, NY, USA, August 30 - September 3, 2006, Main Volume, 2006)

Deformable registration using scale space keypoints - Mehdi Moradi; Purang Abolmaesumi; Parvin Mousavi (Medical Imaging 2006: Image Processing, MEDICAL IMAGING, San Diego, California, United States, 11-16 February 2006, 2006)

Automatic Locating the Centromere on Human Chromosome Pictures - Mehdi Moradi; Seyed Kamaledin Setarehdan; S. R. Ghaffari (16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 26-27 June 2003, New York, NY, USA, 2003)