Mehdi Moradi
Orcid: 0000-0001-6746-7180
According to our database1,
Mehdi Moradi
authored at least 96 papers
between 2003 and 2024.
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Bibliography
2024
Basis scaling and double pruning for efficient inference in network-based transfer learning.
Pattern Recognit. Lett., January, 2024
2023
Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
CoRR, 2022
A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the AMIA 2022, 2022
2021
Medical Image Anal., 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the AMIA 2020, 2020
Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection.
Proceedings of the AMIA 2020, 2020
2019
Pattern Recognit. Lett., 2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR, 2019
Body part and imaging modality classification for a general radiology cognitive assistant.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Building medical image classifiers with very limited data using segmentation networks.
Medical Image Anal., 2018
Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach.
Int. J. Energy Optim. Eng., 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Chest x-ray generation and data augmentation for cardiovascular abnormality classification.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Bimodal Network Architectures for Automatic Generation of Image Annotation from Text.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A Genetic Algorithm Hybridized with an Efficient Mutation Operator for Identifying Hidden Communities of Complex Networks.
Proceedings of the 9th International Symposium on Telecommunications, 2018
Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Detecting anomalies from echocardiography using multi-view regression of clinical measurements.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Automatic labeling of continuous wave Doppler images based on combined image and sentence networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features.
Medical Image Anal., 2016
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016
2015
IEEE Trans. Medical Imaging, 2015
A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.
Comput. Medical Imaging Graph., 2015
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Prostate cancer detection from model-free T1-weighted time series and diffusion imaging.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Multimodal classification of prostate tissue: a feasibility study on combining multiparametric MRI and ultrasound.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Functional Imaging and Modeling of the Heart, 2015
2014
Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
2013
Statistical unit root test for edge detection in ultrasound images of vessels and cysts.
J. Electronic Imaging, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate.
IEEE Trans. Medical Imaging, 2012
Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy.
IEEE Trans. Medical Imaging, 2012
Seed localization in Ultrasound and Registration to C-Arm Fluoroscopy Using Matched Needle Tracks for Prostate Brachytherapy.
IEEE Trans. Biomed. Eng., 2012
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Two solutions for registration of ultrasound to MRI for image-guided prostate interventions.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Medical Image Anal., 2011
Brachytherapy seed reconstruction with joint-encoded C-arm single-axis rotation and motion compensation.
Medical Image Anal., 2011
Towards Intra-operative Prostate Brachytherapy Dosimetry Based on Partial Seed Localization in Ultrasound and Registration to C-arm Fluoroscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
A Robotic System for Intra-operative Trans-Rectal Ultrasound and Ultrasound Elastography in Radical Prostatectomy.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2011
2010
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
Medical Image Anal., 2010
Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series.
IEEE Trans. Biomed. Eng., 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
PhD thesis, 2008
Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
2007
Tissue Characterization Using Fractal Dimension of High Frequency Ultrasound RF Time Series.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
2006
Pattern Recognit. Lett., 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2003
Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003