Maysam Shahedi

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 25

Top Topics

Prostate Segmentation

Magnetic Resonance

Top Venues

Medical Imaging: Image-Guided Procedures

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Medical Imaging: Digital Pathology

Publications

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)
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)
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)
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)
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)
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)
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)
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)
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)
Patric Bettati, James D. Dormer, Jeff Young, Maysam Shahedi, Baowei Fei
Virtual reality assisted cardiac catheterization. Medical Imaging: Image-Guided Procedures (2021)
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)
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)
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)
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)
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)
Simindokht Jahangard, Mohammad Hossein Zangooei, Maysam Shahedi
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images. CoRR (2020)
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)
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)
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)
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)
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)
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)
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
Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. Sensors 19 (4) (2019)
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)
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) (2017)
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)
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)
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)