Maysam Shahedi
Orcid: 0000-0001-9108-2010Affiliations:
- University of Texas at Dallas, Department of Bioengineering, Richardson, TX, USA
- Emory University School of Medicine, Atlanta, GA, USA
- London Health Science Centre, Baines Centre for Translational Cancer Research, London, Canada
- University of Western Ontario, Robarts Research Institute, London, Canada
- Isfahan University of Technology, Department of Electrical and Computer Engineering, Isfahan, Iran
According to our database1,
Maysam Shahedi
authored at least 29 papers
between 2007 and 2023.
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Bibliography
2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
An augmented reality-assisted visualization system for potential applications in prostate biopsy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Automatic segmentation of uterine cavity and placenta on MR images using deep learning.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS).
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images.
CoRR, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Segmentation of uterus and placenta in MR images using a fully convolutional neural network.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Deep Learning-Based Framework for <i>In Vivo</i> Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain.
Sensors, 2019
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
2018
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
2017
Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.
J. Digit. Imaging, 2017
2014
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
2013
Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
2007
Accurate Breast Region Detection in Digital Mammograms Using a Local Adaptive Thresholding Method.
Proceedings of the Eighth International Workshop on Image Analysis for Multimedia Interactive Services, 2007