Dr. Maysam Shahedi Bagh Khandan Profile

Dr. Maysam Shahedi Bagh Khandan

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Author

Publications (28)

Proceedings Article | 4 April 2022 Presentation + Paper

Automatic segmentation of uterine cavity and placenta on MR images using deep learning

Maysam Shahedi, James Dormer, Quyen Do, Yin Xi, Matthew Lewis, Christina Herrera, Catherine Spong, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

Proceedings Volume 12036, 1203611 (2022) https://doi.org/10.1117/12.2613286

KEYWORDS: Image segmentation, Magnetic resonance imaging, 3D image processing, Uterus, 3D modeling, Image processing algorithms and systems, Fetus, Feature extraction, Convolutional neural networks, Image processing

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features

Ka'Toria Leitch, Maysam Shahedi, James Dormer, Quyen Do, Yin Xi, Matthew Lewis, Christina Herrera, Catherine Spong, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

Proceedings Volume 12033, 120331I (2022) https://doi.org/10.1117/12.2611587

KEYWORDS: Magnetic resonance imaging, Uterus, Feature selection, Image segmentation, Feature extraction, Machine learning, Ultrasonography, Radiology, Image filtering

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Proceedings Article | 4 April 2022 Presentation + Paper

CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum

James Dormer, Michael Villordon, Maysam Shahedi, Ka'Toria Leitch, Quyen Do, Yin Xi, Matthew Lewis, Ananth Madhuranthakam, Christina Herrera, Catherine Spong, Diane Twickler, Baowei Fei

Proceedings Volume 12032, 120320N (2022) https://doi.org/10.1117/12.2611580

KEYWORDS: 3D magnetic resonance imaging, Magnetic resonance imaging, Fetus, Convolution, Network architectures, Feature extraction, Data modeling, Uterus, Convolutional neural networks, Image classification

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Proceedings Article | 4 April 2022 Poster + Paper

Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points

Ted Shi, Maysam Shahedi, Kayla Caughlin, James Dormer, Ling Ma, Baowei Fei

Proceedings Volume 12034, 120341W (2022) https://doi.org/10.1117/12.2611594

KEYWORDS: Image segmentation, Computed tomography, 3D image processing, 3D modeling, Data modeling, Heart, Magnetic resonance imaging, Convolutional neural networks, Prostate, Lithium

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

A low-cost PVC-based dual-modality kidney phantom

Jeff Young, Maysam Shahedi, James Dormer, Brett Johnson, Jeffrey Gahan, Baowei Fei

Proceedings Volume 12034, 120342Q (2022) https://doi.org/10.1117/12.2611592

KEYWORDS: Kidney, Silicon, Tissues, X-ray imaging, 3D image processing, Liquids, Biopsy, 3D printing, X-ray computed tomography, X-rays, Ultrasound real time imaging

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

An augmented reality-assisted visualization system for potential applications in prostate biopsy

Patric Bettati, James Dormer, Maysam Shahedi, Baowei Fei

Proceedings Volume 12034, 120342G (2022) https://doi.org/10.1117/12.2611590

KEYWORDS: Augmented reality, Biopsy, Prostate, Image segmentation, Holograms, Ultrasonography, Visualization, Magnetic resonance imaging, 3D acquisition, Image registration

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Proceedings Article | 2 March 2022 Presentation + Paper

LED-based hyperspectral endoscopic imaging

Naeeme Modir, Maysam Shahedi, James Dormer, Ling Ma, Mohammadaref Ghaderi, Shashank Sirsi, Yi-Shing Lisa Cheng, Baowei Fei

Proceedings Volume 11954, 1195408 (2022) https://doi.org/10.1117/12.2609023

KEYWORDS: Imaging systems, Cameras, Tissues, Light emitting diodes, Hyperspectral imaging, Prototyping, Calibration, Endoscopy, Cancer, Endoscopes

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SPIE Journal Paper | 25 September 2021

Deep learning-based segmentation of the placenta and uterus on MR images

Maysam Shahedi, Catherine Spong, James Dormer, Quyen Do, Yin Xi, Matthew Lewis, Christina Herrera, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

JMI, Vol. 8, Issue 05, 054001, (September 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.5.054001

KEYWORDS: Image segmentation, Magnetic resonance imaging, Uterus, 3D image processing, 3D modeling, Data modeling, Solids, Image processing algorithms and systems, Fetus, Convolutional neural networks

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Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Development of a real-time spectral imaging system using in-site micro-LED-based illumination and high-speed micro-camera for endoscopic applications

Naeeme Modir, Maysam Shahedi, James Dormer, Baowei Fei

Proceedings Volume 11654, 1165417 (2021) https://doi.org/10.1117/12.2579097

KEYWORDS: Imaging systems, Endoscopy, Imaging spectroscopy, Light emitting diodes, Visible radiation, Tumors, Tissues, Spectral resolution, Spatial resolution, Multispectral imaging

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Virtual reality assisted cardiac catheterization

Patric Bettati, James Dormer, Jeff Young, Maysam Shahedi, Baowei Fei

Proceedings Volume 11598, 115982D (2021) https://doi.org/10.1117/12.2582097

KEYWORDS: Cardiac catheterization, Virtual reality, Heart, Visualization, Blood

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Proceedings Article | 15 February 2021 Presentation + Paper

Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification

Ling Ma, Maysam Shahedi, Ted Shi, Martin Halicek, James Little, Amy Chen, Larry Myers, Baran Sumer, Baowei Fei

Proceedings Volume 11598, 1159811 (2021) https://doi.org/10.1117/12.2581046

KEYWORDS: Tumors, Hyperspectral imaging, Image classification, Tissues, Cancer, Surgery, Optical imaging, In vivo imaging, Convolutional neural networks

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

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)

Yin Xi, Maysam Shahedi, Quyen Do, James Dormer, Matthew Lewis, Baowei Fei, Catherine Spong, Ananth Madhuranthakam, Diane Twickler

Proceedings Volume 11597, 115972P (2021) https://doi.org/10.1117/12.2581467

KEYWORDS: Magnetism, Image segmentation, Diagnostics, Uterus, Receivers, Magnetic resonance imaging

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Proceedings Article | 15 February 2021 Presentation + Paper

Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling

Kayla Caughlin, Maysam Shahedi, Jonathan Shoag, Christopher Barbieri, Daniel Margolis, Baowei Fei

Proceedings Volume 11598, 115980L (2021) https://doi.org/10.1117/12.2581963

KEYWORDS: Image segmentation, Prostate, Computed tomography, Neural networks, Data modeling, Scanners, Performance modeling, Diagnostics and therapeutics

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Proceedings Article | 16 March 2020 Paper

Augmented reality-assisted biopsy of soft tissue lesions

Patric Bettati, Majid Chalian, James Huang, James Dormer, Maysam Shahedi, Baowei Fei

Proceedings Volume 11315, 113150W (2020) https://doi.org/10.1117/12.2549381

KEYWORDS: Biopsy, Tissues, Tumors, Computed tomography, Augmented reality, Holograms, Lung, Visualization, Core needle biopsy

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Proceedings Article | 16 March 2020 Paper

Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images

Amol Mavuduru, Martin Halicek, Maysam Shahedi, James Little, Amy Chen, Larry Myers, Baowei Fei

Proceedings Volume 11320, 113200C (2020) https://doi.org/10.1117/12.2549061

KEYWORDS: Image segmentation, Head, Neck, Tissues, Tumors, Cancer, Image processing, RGB color model, Medicine, Stochastic processes

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Proceedings Article | 16 March 2020 Paper

Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection

James Huang, Martin Halicek, Maysam Shahedi, Baowei Fei

Proceedings Volume 11315, 113150U (2020) https://doi.org/10.1117/12.2549041

KEYWORDS: Image segmentation, Tumors, Brain, Tissues, Augmented reality, Hyperspectral imaging, Visualization, Neuroimaging, Tissue optics, Holograms

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Proceedings Article | 16 March 2020 Presentation + Paper

A complex dual-modality kidney phantom for renal biopsy studies

Jose Vargas, Phuc Le, Maysam Shahedi, Jeffrey Gahan, Brett Johnson, James Dormer, Sarah Shahub, Matthew Pfefferle, Blake Judson, Yasmeen Alshara, Qinmei Li, Baowei Fei

Proceedings Volume 11319, 113190J (2020) https://doi.org/10.1117/12.2549892

KEYWORDS: Kidney, Ultrasonography, Image segmentation, Biopsy, 3D modeling, Computed tomography, 3D image processing, Tissues, SolidWorks, Standards development

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Proceedings Article | 16 March 2020 Presentation + Paper

Segmentation of uterus and placenta in MR images using a fully convolutional neural network

Maysam Shahedi, James Dormer, Anusha Devi T. T. , Quyen Do, Yin Xi, Matthew Lewis, Ananth Madhuranthakam, Diane Twickler, Baowei Fei

Proceedings Volume 11314, 113141R (2020) https://doi.org/10.1117/12.2549873

KEYWORDS: Image segmentation, Magnetic resonance imaging, Uterus, 3D image processing, Convolutional neural networks, Fetus, 3D modeling, Image processing algorithms and systems

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Proceedings Article | 16 March 2020 Paper

Renal biopsy under augmented reality guidance

Matthew Pfefferle, Sarah Shahub, Maysam Shahedi, Jeffrey Gahan, Brett Johnson, Phuc Le, Jose Vargas, Blake Judson, Yasmeen Alshara, Qinmei Li, Baowei Fei

Proceedings Volume 11315, 113152W (2020) https://doi.org/10.1117/12.2550593

KEYWORDS: Ultrasonography, Image registration, Biopsy, Augmented reality, Computed tomography, 3D image processing, Kidney, Image segmentation, Magnetic tracking, Holograms

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Proceedings Article | 10 March 2020 Presentation + Paper

Incorporating minimal user input into deep-learning-based image segmentation

Maysam Shahedi, Martin Halicek, James Dormer, Baowei Fei

Proceedings Volume 11313, 1131313 (2020) https://doi.org/10.1117/12.2549716

KEYWORDS: Image segmentation, Magnetic resonance imaging, Prostate, Convolutional neural networks, Medical imaging, 3D modeling, Network architectures, 3D image processing, Image processing

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SPIE Journal Paper | 3 May 2019

Deep learning-based three-dimensional segmentation of the prostate on computed tomography images

Maysam Shahedi, Martin Halicek, James Dormer, David Schuster, Baowei Fei

JMI, Vol. 6, Issue 02, 025003, (May 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.025003

KEYWORDS: Image segmentation, Prostate, Computed tomography, 3D modeling, 3D image processing, Image processing algorithms and systems, Performance modeling, Data modeling, Statistical modeling, Algorithm development

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Proceedings Article | 18 March 2019 Paper

Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks

Martin Halicek, Maysam Shahedi, James Little, Amy Chen, Larry Myers, Baran Sumer, Baowei Fei

Proceedings Volume 10956, 109560K (2019) https://doi.org/10.1117/12.2512570

KEYWORDS: Head, Neck, Tissues, Cancer, Convolutional neural networks, Pathology, Tumors, Image classification, Tissue optics, RGB color model

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Proceedings Article | 8 March 2019 Paper

A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling

Maysam Shahedi, Martin Halicek, Qinmei Li, Lizhi Liu, Zhenfeng Zhang, Sadhna Verma , David Schuster, Baowei Fei

Proceedings Volume 10951, 109512I (2019) https://doi.org/10.1117/12.2512282

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, Image processing algorithms and systems, 3D image processing, 3D modeling, Feature extraction, Image classification, Statistical modeling, Shape analysis

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Proceedings Article | 12 March 2018 Presentation + Paper

A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics

Maysam Shahedi, Ling Ma, Martin Halicek, Rongrong Guo, Guoyi Zhang, David Schuster, Peter Nieh, Viraj Master, Baowei Fei

Proceedings Volume 10576, 1057616 (2018) https://doi.org/10.1117/12.2293195

KEYWORDS: Image segmentation, Prostate, Computed tomography, Image processing algorithms and systems, 3D image processing, 3D modeling, Algorithm development, Cancer, Shape analysis

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SPIE Journal Paper | 7 November 2016

Postediting prostate magnetic resonance imaging segmentation consistency and operator time using manual and computer-assisted segmentation: multiobserver study

Maysam Shahedi, Derek Cool, Cesare Romagnoli, Glenn Bauman, Matthew Bastian-Jordan, George Rodrigues, Belal Ahmad, Michael Lock, Aaron Fenster, Aaron Ward

JMI, Vol. 3, Issue 04, 046002, (November 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.4.046002

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, Error analysis, Bladder, Image processing algorithms and systems, Principal component analysis, 3D modeling, Cancer, Prostate cancer

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Proceedings Article | 20 March 2014 Paper

Accuracy and variability of tumor burden measurement on multi-parametric MRI

Mehrnoush Salarian, Eli Gibson, Maysam Shahedi, Mena Gaed, José Gómez, Madeleine Moussa, Cesare Romagnoli, Derek Cool, Matthew Bastian-Jordan, Joseph Chin, Stephen Pautler, Glenn Bauman, Aaron Ward

Proceedings Volume 9041, 90410I (2014) https://doi.org/10.1117/12.2043716

KEYWORDS: Magnetic resonance imaging, Prostate, Prostate cancer, Error analysis, Tissues, Biopsy, Cancer, Image registration, Algorithm development, Neodymium

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Proceedings Article | 29 March 2013 Paper

Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement

Mehrnoush Salarian, Maysam Shahedi, Eli Gibson, Mena Gaed, José Gómez, Madeleine Moussa, Glenn Bauman, Aaron Ward

Proceedings Volume 8676, 86760F (2013) https://doi.org/10.1117/12.2007103

KEYWORDS: Pathology, Prostate cancer, Prostate, Cancer, Tissues, Principal component analysis, 3D metrology, Statistical analysis, Binary data, 3D image processing

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Proceedings Article | 12 March 2013 Paper

Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis

Maysam Shahedi, Aaron Fenster, Derek Cool, Cesare Romagnoli, Aaron Ward

Proceedings Volume 8671, 86710N (2013) https://doi.org/10.1117/12.2006465

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, 3D image processing, 3D modeling, Cancer, Medical imaging, Data modeling, Magnetism, Shape analysis

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Showing 5 of 28 publications

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