Accurate Breast Region Detection in Digital Mammograms Using a Local Adaptive Thresholding Method. - Maysam B. K. Shahedi; Rassoul Amirfattahi; Farah Torkamani-Azar; Saeed Sadri (WIAMIS, 2007)

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 A. Gómez; Madeleine Moussa; Glenn S. Bauman; Aaron D. Ward (Digital Pathology, 2013)

Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis. - Maysam Shahedi; Aaron Fenster; Derek W. Cool; Cesare Romagnoli; Aaron D. Ward (Image-Guided Procedures, 2013)

Accuracy and variability of tumor burden measurement on multi-parametric MRI. - 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; et al. (Digital Pathology, 2014)

Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging. - Maysam Shahedi; Derek W. Cool; Glenn S. Bauman; Matthew Bastian-Jordan; Aaron Fenster; Aaron D. Ward (J. Digit. Imaging, 2017)

A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. - Maysam Shahedi; Ling Ma 004; Martin T. Halicek; Rongrong Guo; Guoyi Zhang; David M. Schuster; Peter Nieh; Viraj Master; Baowei Fei (Image-Guided Procedures, 2018)

Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks. - Martin T. Halicek; Maysam Shahedi; James V. Little; Amy Y. Chen; Larry L. Myers; Baran D. Sumer; Baowei Fei (Digital Pathology, 2019)

A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. - Maysam Shahedi; Martin T. Halicek; Qinmei Li; Lizhi Liu; Zhenfeng Zhang; Sadhna Verma; David M. Schuster; Baowei Fei (Image-Guided Procedures, 2019)

Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. - 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; et al. (Sensors, 2019)

Segmentation of uterus and placenta in MR images using a fully convolutional neural network. - 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 (Computer-Aided Diagnosis, 2020)

Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images. - Amol Mavuduru; Martin T. Halicek; Maysam Shahedi; James V. Little; Amy Y. Chen; Larry L. Myers; Baowei Fei (Digital Pathology, 2020)

Augmented reality-assisted biopsy of soft tissue lesions. - Patric Bettati; Majid Chalian; James Huang; James D. Dormer; Maysam Shahedi; Baowei Fei (Image-Guided Procedures, 2020)

Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection. - James Huang; Martin T. Halicek; Maysam Shahedi; Baowei Fei (Image-Guided Procedures, 2020)

Renal biopsy under augmented reality guidance. - Matthew Pfefferle; Sarah Shahub; Maysam Shahedi; Jeffrey Gahan; Brett Johnson; Phuc Le; Jose Vargas; Blake O. Judson; Yasmeen Alshara; Qinmei Li; Baowei Fei (Image-Guided Procedures, 2020)

Incorporating minimal user input into deep-learning-based image segmentation. - Maysam Shahedi; Martin T. Halicek; James D. Dormer; Baowei Fei (Image Processing, 2020)

U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images. - Simindokht Jahangard; Mohammad Hossein Zangooei; Maysam Shahedi (CoRR, 2020)

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 N. Do; James D. Dormer; Matthew A. Lewis; Baowei Fei; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler (Computer-Aided Diagnosis, 2021)

Virtual reality assisted cardiac catheterization. - Patric Bettati; James D. Dormer; Jeff Young; Maysam Shahedi; Baowei Fei (Image-Guided Procedures, 2021)

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 (Image-Guided Procedures, 2021)

Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification. - Ling Ma 004; Maysam Shahedi; Ted Shi; Martin T. Halicek; James V. Little; Amy Y. Chen; Larry L. Myers; Baran D. Sumer; Baowei Fei (Image-Guided Procedures, 2021)

Automatic segmentation of uterine cavity and placenta on MR images using deep learning. - 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 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features. - Ka'Toria N. Leitch; Martin T. Halicek; Maysam Shahedi; James V. Little; Amy Y. Chen; Baowei Fei (Computer-Aided Diagnosis, 2022)

Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. - 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 (Computer-Aided Diagnosis, 2022)

An augmented reality-assisted visualization system for potential applications in prostate biopsy. - Patric Bettati; James D. Dormer; Maysam Shahedi; Baowei Fei (Image-Guided Procedures, 2022)

Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. - Ted Shi; Maysam Shahedi; Kayla Caughlin; James D. Dormer; Ling Ma 004; Baowei Fei (Image-Guided Procedures, 2022)

A low-cost PVC-based dual-modality kidney phantom. - Jeff Young; Maysam Shahedi; James D. Dormer; Brett Johnson; Jeffrey Gahan; Baowei Fei (Image-Guided Procedures, 2022)

CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. - 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 (Image Processing, 2022)

Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images. - 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 (Computer-Aided Diagnosis, 2023)

Topography-based feature extraction of the human placenta from prenatal MR images. - 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 (Image Processing, 2023)