Maysam Shahedi

28 papers B 3Journal 3Unranked 22

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images. Computer-Aided Diagnosis 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
2023	B	`conf`	Topography-based feature extraction of the human placenta from prenatal MR images. Image Processing 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
2022	—	`conf`	A low-cost PVC-based dual-modality kidney phantom. Image-Guided Procedures Jeff Young, Maysam Shahedi, James D. Dormer, Brett Johnson, Jeffrey Gahan, Baowei Fei
2022	—	`conf`	An augmented reality-assisted visualization system for potential applications in prostate biopsy. Image-Guided Procedures Patric Bettati, James D. Dormer, Maysam Shahedi, Baowei Fei
2022	—	`conf`	Automatic segmentation of uterine cavity and placenta on MR images using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 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
2022	B	`conf`	CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. Image Processing 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
2022	—	`conf`	Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features. Computer-Aided Diagnosis Ka'Toria N. Leitch, Martin T. Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Baowei Fei
2022	—	`conf`	Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. Computer-Aided Diagnosis 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
2022	—	`conf`	Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. Image-Guided Procedures Ted Shi, Maysam Shahedi, Kayla Caughlin, James D. Dormer, Ling Ma, Baowei Fei
2021	—	`conf`	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). Computer-Aided Diagnosis Yin Xi, Maysam Shahedi, Quyen N. Do, James D. Dormer, Matthew A. Lewis, Baowei Fei, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler
2021	—	`conf`	Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification. Image-Guided Procedures Ling Ma, Maysam Shahedi, Ted Shi, Martin T. Halicek, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei
2021	—	`conf`	Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling. Image-Guided Procedures Kayla Caughlin, Maysam Shahedi, Jonathan Shoag, Christopher Barbieri, Daniel Margolis, Baowei Fei
2021	—	`conf`	Virtual reality assisted cardiac catheterization. Image-Guided Procedures Patric Bettati, James D. Dormer, Jeff Young, Maysam Shahedi, Baowei Fei
2020	—	`conf`	Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection. Image-Guided Procedures James Huang, Martin T. Halicek, Maysam Shahedi, Baowei Fei
2020	—	`conf`	Augmented reality-assisted biopsy of soft tissue lesions. Image-Guided Procedures Patric Bettati, Majid Chalian, James Huang, James D. Dormer, Maysam Shahedi, Baowei Fei
2020	B	`conf`	Incorporating minimal user input into deep-learning-based image segmentation. Image Processing Maysam Shahedi, Martin T. Halicek, James D. Dormer, Baowei Fei
2020	—	`conf`	Renal biopsy under augmented reality guidance. Image-Guided Procedures Matthew Pfefferle, Sarah Shahub, Maysam Shahedi, Jeffrey Gahan, Brett Johnson, Phuc Le, Jose Vargas, Blake O. Judson, Yasmeen Alshara, Qinmei Li, Baowei Fei
2020	—	`conf`	Segmentation of uterus and placenta in MR images using a fully convolutional neural network. Computer-Aided Diagnosis 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
2020	J	`jnl`	U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images. CoRR Simindokht Jahangard, Mohammad Hossein Zangooei, Maysam Shahedi
2020	—	`conf`	Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images. Digital Pathology Amol Mavuduru, Martin T. Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Larry L. Myers, Baowei Fei
2019	—	`conf`	A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. Image-Guided Procedures Maysam Shahedi, Martin T. Halicek, Qinmei Li, Lizhi Liu, Zhenfeng Zhang, Sadhna Verma, David M. Schuster, Baowei Fei
2019	J	`jnl`	Deep Learning-Based Framework for Sensors 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 M. Callicó, Roberto Sarmiento, Baowei Fei
2019	—	`conf`	Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks. Digital Pathology Martin T. Halicek, Maysam Shahedi, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei
2018	—	`conf`	A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. Image-Guided Procedures Maysam Shahedi, Ling Ma, Martin T. Halicek, Rongrong Guo, Guoyi Zhang, David M. Schuster, Peter Nieh, Viraj Master, Baowei Fei
2017	J	`jnl`	Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging. J. Digit. Imaging Maysam Shahedi, Derek W. Cool, Glenn S. Bauman, Matthew Bastian-Jordan, Aaron Fenster, Aaron D. Ward
2014	—	`conf`	Accuracy and variability of tumor burden measurement on multi-parametric MRI. Digital Pathology 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
2013	—	`conf`	Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis. Image-Guided Procedures Maysam Shahedi, Aaron Fenster, Derek W. Cool, Cesare Romagnoli, Aaron D. Ward
2013	—	`conf`	Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement. Digital Pathology Mehrnoush Salarian, Maysam Shahedi, Eli Gibson, Mena Gaed, José A. Gómez, Madeleine Moussa, Glenn S. Bauman, Aaron D. Ward