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Maysam Shahedi
Person information
- affiliation: University of Texas at Dallas, Department of Bioengineering, Richardson, TX, USA
- affiliation: Emory University School of Medicine, Atlanta, GA, USA
- affiliation: London Health Science Centre, Baines Centre for Translational Cancer Research, London, Canada
- affiliation: University of Western Ontario, Robarts Research Institute, London, Canada
- affiliation: Isfahan University of Technology, Department of Electrical and Computer Engineering, Isfahan, Iran
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2020 – today
- 2023
- [c26]James Huang, Quyen N. Do, Maysam Shahedi, Yin Xi, Matthew A. Lewis, Christina L. Herrera, David Owen, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images. Medical Imaging: Computer-Aided Diagnosis 2023 - [c25]James Huang, Maysam Shahedi
, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, David Owen, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Topography-based feature extraction of the human placenta from prenatal MR images. Medical Imaging: Image Processing 2023 - 2022
- [c24]Maysam Shahedi
, James D. Dormer, Quyen N. Do
, Yin Xi, Matthew A. Lewis, Christina L. Herrera, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Automatic segmentation of uterine cavity and placenta on MR images using deep learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c23]Ka'Toria N. Leitch, Martin T. Halicek, Maysam Shahedi
, James V. Little, Amy Y. Chen, Baowei Fei:
Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features. Medical Imaging: Computer-Aided Diagnosis 2022 - [c22]Ka'Toria N. Leitch, Maysam Shahedi, James D. Dormer, Quyen N. Do
, Yin Xi, Matthew A. Lewis, Christina L. Herrera, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei:
Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. Medical Imaging: Computer-Aided Diagnosis 2022 - [c21]Patric Bettati, James D. Dormer, Maysam Shahedi, Baowei Fei:
An augmented reality-assisted visualization system for potential applications in prostate biopsy. Medical Imaging: Image-Guided Procedures 2022 - [c20]Ted Shi, Maysam Shahedi, Kayla Caughlin, James D. Dormer, Ling Ma
, Baowei Fei:
Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. Medical Imaging: Image-Guided Procedures 2022 - [c19]Jeff Young, Maysam Shahedi
, James D. Dormer, Brett Johnson, Jeffrey Gahan, Baowei Fei:
A low-cost PVC-based dual-modality kidney phantom. Medical Imaging: Image-Guided Procedures 2022 - [c18]James D. Dormer, Michael Villordon, Maysam Shahedi
, Ka'Toria N. Leitch, Quyen N. Do
, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Christina L. Herrera, Catherine Y. Spong, Diane M. Twickler, Baowei Fei:
CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. Medical Imaging: Image Processing 2022 - 2021
- [c17]Yin Xi
, Maysam Shahedi
, Quyen N. Do
, James D. Dormer
, Matthew A. Lewis, Baowei Fei
, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler:
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). Medical Imaging: Computer-Aided Diagnosis 2021 - [c16]Patric Bettati, James D. Dormer, Jeff Young, Maysam Shahedi
, Baowei Fei
:
Virtual reality assisted cardiac catheterization. Medical Imaging: Image-Guided Procedures 2021 - [c15]Kayla Caughlin, Maysam Shahedi, Jonathan Shoag, Christopher Barbieri, Daniel Margolis, Baowei Fei
:
Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling. Medical Imaging: Image-Guided Procedures 2021 - [c14]Ling Ma
, Maysam Shahedi, Ted Shi, Martin T. Halicek, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei
:
Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification. Medical Imaging: Image-Guided Procedures 2021 - 2020
- [c13]Maysam Shahedi
, James D. Dormer
, T. T. Anusha Devi, Quyen N. Do
, Yin Xi
, Matthew A. Lewis, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei
:
Segmentation of uterus and placenta in MR images using a fully convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2020 - [c12]Amol Mavuduru, Martin T. Halicek, Maysam Shahedi
, James V. Little, Amy Y. Chen, Larry L. Myers, Baowei Fei
:
Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images. Medical Imaging: Digital Pathology 2020: 113200C - [c11]Patric Bettati, Majid Chalian
, James Huang, James D. Dormer
, Maysam Shahedi, Baowei Fei
:
Augmented reality-assisted biopsy of soft tissue lesions. Medical Imaging: Image-Guided Procedures 2020: 113150W - [c10]James Huang, Martin T. Halicek, Maysam Shahedi, Baowei Fei
:
Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection. Medical Imaging: Image-Guided Procedures 2020: 113150U - [c9]Matthew Pfefferle, Sarah Shahub, Maysam Shahedi
, Jeffrey Gahan, Brett Johnson, Phuc Le, Jose Vargas, Blake O. Judson, Yasmeen Alshara, Qinmei Li, Baowei Fei
:
Renal biopsy under augmented reality guidance. Medical Imaging: Image-Guided Procedures 2020: 113152W - [c8]Maysam Shahedi
, Martin T. Halicek, James D. Dormer
, Baowei Fei
:
Incorporating minimal user input into deep-learning-based image segmentation. Medical Imaging: Image Processing 2020: 1131313 - [i1]Simindokht Jahangard, Mohammad Hossein Zangooei, Maysam Shahedi:
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images. CoRR abs/2007.08238 (2020)
2010 – 2019
- 2019
- [j2]Himar Fabelo
, Martin T. Halicek, Samuel Ortega
, Maysam Shahedi
, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O'Shanahan, Sara Bisshopp, Carlos Espino Palma, Mariano Márquez, María Hernández, David Carrera, Jesús Morera, Gustavo Marrero Callicó
, Roberto Sarmiento
, Baowei Fei
:
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. Sensors 19(4): 920 (2019) - [c7]Martin T. Halicek, Maysam Shahedi
, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei
:
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks. Medical Imaging: Digital Pathology 2019: 109560K - [c6]Maysam Shahedi
, Martin T. Halicek, Qinmei Li, Lizhi Liu, Zhenfeng Zhang, Sadhna Verma, David M. Schuster, Baowei Fei
:
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. Medical Imaging: Image-Guided Procedures 2019: 109512I - 2018
- [c5]Maysam Shahedi
, Ling Ma, Martin T. Halicek, Rongrong Guo, Guoyi Zhang, David M. Schuster, Peter Nieh, Viraj Master, Baowei Fei
:
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. Medical Imaging: Image-Guided Procedures 2018: 1057616 - 2017
- [j1]Maysam Shahedi
, Derek W. Cool
, Glenn S. Bauman
, Matthew Bastian-Jordan, Aaron Fenster, Aaron D. Ward:
Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging. J. Digit. Imaging 30(6): 782-795 (2017) - 2014
- [c4]Mehrnoush Salarian, Eli Gibson
, Maysam Shahedi
, Mena Gaed, José A. Gómez, Madeleine Moussa, Cesare Romagnoli, Derek W. Cool, Matthew Bastian-Jordan, Joseph L. Chin, Stephen E. Pautler, Glenn S. Bauman
, Aaron D. Ward:
Accuracy and variability of tumor burden measurement on multi-parametric MRI. Medical Imaging: Digital Pathology 2014: 90410I - 2013
- [c3]Mehrnoush Salarian, Maysam Shahedi
, Eli Gibson
, Mena Gaed, José A. Gómez, Madeleine Moussa, Glenn S. Bauman
, Aaron D. Ward:
Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement. Medical Imaging: Digital Pathology 2013: 86760F - [c2]Maysam Shahedi
, Aaron Fenster, Derek W. Cool, Cesare Romagnoli, Aaron D. Ward:
Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis. Medical Imaging: Image-Guided Procedures 2013: 86710N
2000 – 2009
- 2007
- [c1]Maysam B. K. Shahedi, Rassoul Amirfattahi, Farah Torkamani-Azar, Saeed Sadri:
Accurate Breast Region Detection in Digital Mammograms Using a Local Adaptive Thresholding Method. WIAMIS 2007: 26
Coauthor Index
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last updated on 2024-04-29 20:32 CEST by the dblp team
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