Parvin Mousavi
Orcid: 0000-0002-1630-7379
According to our database1,
Parvin Mousavi
authored at least 175 papers
between 2000 and 2024.
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Bibliography
2024
From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotations.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometry.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
Int. J. Comput. Assist. Radiol. Surg., May, 2024
CoRR, 2024
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Towards Improving Surgical Margins in Tumour Resection Using Mass Spectrometry Imaging.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024
Assessing the Performance of Foundation Models in Prostate Segmentation Across Different Ultrasound Modalities.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024
Extracting 3D Prostate Geometry from 2D Optically-Tracked Transrectal Ultrasound Images.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024
Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024
2023
IEEE Trans. Biomed. Eng., December, 2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.
Int. J. Comput. Assist. Radiol. Surg., July, 2023
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification.
CoRR, 2023
Cautery trajectory analysis for evaluation of resection margins in breast-conserving surgery.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Attention-based multi-instance learning for improved glioblastoma detection using mass spectrometry.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Multi-catheter modelling in reconstructed 3D transrectal ultrasound images from prostate brachytherapy.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
ViPRE: an open-source software implementation for end-to-end analysis of mass spectrometry data.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Bridging Ex-Vivo Training and Intra-operative Deployment for Surgical Margin Assessment with Evidential Graph Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Application of Intraoperative Mass Spectrometry and Data Analytics for Oncological Margin Detection, A Review.
IEEE Trans. Biomed. Eng., 2022
Toward ECG-based analysis of hypertrophic cardiomyopathy: a novel ECG segmentation method for handling abnormalities.
J. Am. Medical Informatics Assoc., 2022
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound.
CoRR, 2022
Computer-aided identification of stroke-associated motor impairments using a virtual reality augmented robotic system.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022
Coarse label refinement for improving prostate cancer detection in ultrasound imaging.
Int. J. Comput. Assist. Radiol. Surg., 2022
Training deep neural networks with noisy clinical labels: toward accurate detection of prostate cancer in US data.
Int. J. Comput. Assist. Radiol. Surg., 2022
Towards targeted ultrasound-guided prostate biopsy by incorporating model and label uncertainty in cancer detection.
Int. J. Comput. Assist. Radiol. Surg., 2022
Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation.
Int. J. Comput. Assist. Radiol. Surg., 2022
Uncertainty estimation for margin detection in cancer surgery using mass spectrometry.
Int. J. Comput. Assist. Radiol. Surg., 2022
Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures.
BMC Bioinform., 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Uncertainty-Aware Deep Ensemble Model For Targeted Ultrasound-Guided Prostate Biopsy.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Medical Image Anal., 2021
Design of an Ultrasound-Navigated Prostate Cancer Biopsy System for Nationwide Implementation in Senegal.
J. Imaging, 2021
Combined Mass Spectrometry and Histopathology Imaging for Perioperative Tissue Assessment in Cancer Surgery.
J. Imaging, 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the Machine Learning for Healthcare Conference, 2021
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Graph-based analysis of mass spectrometry data for tissue characterization with application in basal cell carcinoma surgery.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Characterizing The Uncertainty Of Label Noise In Systematic Ultrasound-Guided Prostate Biopsy.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Prediction of patient survival following postanoxic coma using EEG data and clinical features.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Utility of High-Throughput Imaging Mass Cytometry for Cancer Research: A feasibility study.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
IEEE Trans. Biomed. Eng., 2020
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.
Int. J. Comput. Assist. Radiol. Surg., 2020
Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2020
Multiple instance learning combined with label invariant synthetic data for guiding systematic prostate biopsy: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Intraoperative integration of structured light scanning for automatic tissue classification: a feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Image registration with deep probabilistic classifiers: application in radiation therapy.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Classification of tumor signatures from electrosurgical vapors using mass spectrometry and machine learning: a feasibility study.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
An End-to-End Solution for Automatic Contouring of Tumor Region in Intraoperative Images of Breast Lumpectomy.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Soft Tissue Characterization with Temporal Enhanced Ultrasound through Periodic Manipulation of Point Spread Function: A Feasibility Study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies.
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Temporal enhanced ultrasound and shear wave elastography for tissue classification in cancer interventions: an experimental evaluation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Tissue classification using machine learning to aid in intraoperative registration: a pilot study.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of scoliotic spine.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
Predictive Modeling using Intensive Care Unit Data: Considerations for Data Pre-processing and Analysis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Advances in Artificial Intelligence, 2019
2018
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.
IEEE Trans. Medical Imaging, 2018
Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization.
IEEE Trans. Biomed. Eng., 2018
IEEE Trans. Biomed. Eng., 2018
A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy.
Medical Image Anal., 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
3D tissue mimicking biophantoms for ultrasound imaging: bioprinting and image analysis.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine.
Int. J. Comput. Assist. Radiol. Surg., 2017
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection.
Int. J. Comput. Assist. Radiol. Surg., 2017
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations.
Int. J. Comput. Assist. Radiol. Surg., 2017
Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Automatic Segmentation of Wrist Bones in CT Using a Statistical Wrist Shape + Pose Model.
IEEE Trans. Medical Imaging, 2016
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2016
Registration of a statistical model to intraoperative ultrasound for scaphoid screw fixation.
Int. J. Comput. Assist. Radiol. Surg., 2016
Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Bone Enhancement in Ultrasound Based on 3D Local Spectrum Variation for Percutaneous Scaphoid Fracture Fixation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
2015
Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions.
IEEE Trans. Medical Imaging, 2015
Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study.
IEEE Trans. Medical Imaging, 2015
Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2015
iCTNet2: integrating heterogeneous biological interactions to understand complex traits.
F1000Research, 2015
Int. J. Comput. Assist. Radiol. Surg., 2015
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2015
Bone enhancement in ultrasound using local spectrum variations for guiding percutaneous scaphoid fracture fixation procedures.
Int. J. Comput. Assist. Radiol. Surg., 2015
iPINBPA: An Integrative Network-Based Functional Module Discovery Tool for Genome-Wide Association Studies.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
Scaphoid fracture fixation: localization of bones through statistical model to ultrasound registration.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 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
Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
J. Digit. Imaging, 2014
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Reduction of stroke assessment time for visually guided reaching task on KINARM exoskeleton robot.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
IEEE Trans. Biomed. Eng., 2013
Ultrasound-Guided Characterization of Interstitial Ablated Tissue Using RF Time Series: Feasibility Study.
IEEE Trans. Biomed. Eng., 2013
Tissue Classification Using Ultrasound-Induced Variations in Acoustic Backscattering Features.
IEEE Trans. Biomed. Eng., 2013
Experimental assessment of error in an electromagnetically-tracked ultrasound-guided needle navigation system.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Prediction of stroke-related diagnostic and prognostic measures using robot-based evaluation.
Proceedings of the IEEE 13th International Conference on Rehabilitation Robotics, 2013
2012
IEEE Trans. Biomed. Eng., 2012
Multi-modal registration of speckle-tracked freehand 3D ultrasound to CT in the lumbar spine.
Medical Image Anal., 2012
Biomechanically constrained groupwise ultrasound to CT registration of the lumbar spine.
Medical Image Anal., 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
iCTNet: A Cytoscape plugin to produce and analyze integrative complex traits networks.
BMC Bioinform., 2011
GPU accelerated registration of a statistical shape model of the lumbar spine to 3D ultrasound images.
Proceedings of the Medical Imaging 2011: Visualization, 2011
Phantom validation for ultrasound to statistical shape model registration of human pelvis.
Proceedings of the Medical Imaging 2011: Visualization, 2011
Proceedings of the Medical Imaging 2011: Visualization, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Biomechanically Constrained Groupwise Statistical Shape Model to Ultrasound Registration of the Lumbar Spine.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2011
2010
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
Medical Image Anal., 2010
A neural network based modeling and validation approach for identifying gene regulatory networks.
Neurocomputing, 2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
Multi-slice to volume registration of ultrasound data to a statistical atlas of human pelvis.
Proceedings of the Medical Imaging 2010: Visualization, 2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Visualization, 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
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
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
Reverse engineering of the transcriptional subnetwork in the yeast cell cycle pathway using Dynamic Bayesian Networks and evolutionary search.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008
Reverse engineering time series of gene expression data using Dynamic Bayesian networks and covariance matrix adaptation evolution strategy with explicit memory.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 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
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Identification of Anatomical Landmarks for Registration of CT and Ultrasound Images in Computer-Assisted Shoulder Arthroscopy.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Predictive modeling of therapy response in multiple sclerosis using gene expression data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
A Neural Network Based Approach for Inference and Verification of Transcriptional Regulatory Interactions.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
A Fast Multivariate Feature-Selection/Classification Approach for Prediction of Therapy Response in Multiple Sclerosis.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
A Systematic Approach for Identifying Regulatory Interactions in Large Temporal Gene Expression Datasets from Peripheral Blood.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006
2005
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005
2002
Feature analysis and centromere segmentation of human chromosome images using an iterative fuzzy algorithm.
IEEE Trans. Biomed. Eng., 2002
2001
Classification of homologous human chromosomes using mutual information maximization.
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
Multi-Feature Analysis and Classification of Human Chromosome Images Using Centromere Segmentation Algorithms.
Proceedings of the 2000 International Conference on Image Processing, 2000