Mehdi Moradi

According to our database1, Mehdi Moradi authored at least 89 papers between 2003 and 2022.

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Bibliography

2022
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient.
CoRR, 2022

2021
A deep community based approach for large scale content based X-ray image retrieval.
Medical Image Anal., 2021

Basis Scaling and Double Pruning for Efficient Transfer Learning.
CoRR, 2021

Chest ImaGenome Dataset for Clinical Reasoning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Channel Scaling: A Scale-And-Select Approach For Transfer Learning.
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

Chest X-Ray Report Generation Through Fine-Grained Label Learning.
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

Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs.
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

AI Accelerated Human-in-the-loop Structuring of Radiology Reports.
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
Community structure detection from networks with weighted modularity.
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

Identifying disease-free chest x-ray images with deep transfer learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Artificial intelligence for point of care radiograph quality assessment.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Age prediction using a large chest x-ray dataset.
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

Segmentation of anatomical structures in cardiac CTA using multi-label V-Net.
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

Integrating Deformable Modeling with 3D Deep Neural Network Segmentation.
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
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples.
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

Automatic extraction of disease-specific features from Doppler images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

An algorithm for fully automatic detection of calcium in chest CT imaging.
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

Lymphoma diagnosis in histopathology using a multi-stage visual learning approach.
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

Tree-Based Transforms for Privileged Learning.
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

Medical sieve: a cognitive assistant for radiologists and cardiologists.
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

False discovery rate controller for functional brain parcellation.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

2015
Ultrasound RF Time Series for Classification of Breast Lesions.
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

Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets.
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

Characterization of aggressive prostate cancer using ultrasound RF time series.
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

Fracture detection in x-ray images through stacked random forests feature fusion.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Viewpoint Recognition in Cardiac CT Images.
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

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy.
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

Ultrasound RF time series for tissue typing: first in vivo clinical results.
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
Evaluation of visualization of the prostate gland in vibro-elastography images.
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

Quantifying Stranded Implant Displacement Following Prostate Brachytherapy.
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

Probabilistic pairwise Markov models: application to prostate cancer detection.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Vibro-Elastography for Visualization of the Prostate Region: Method Evaluation.
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
A New paradigm for Ultrasound-Based Tissue Typing in Prostate Cancer.
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
New features for automatic classification of human chromosomes: A feasibility study.
Pattern Recognit. Lett., 2006

Deformable registration using scale space keypoints.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Detection of Prostate Cancer from RF Ultrasound Echo Signals Using Fractal Analysis.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2003
Automatic Locating the Centromere on Human Chromosome Pictures.
Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003


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