Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients. - Baowei Fei; Guolan Lu; Martin T. Halicek; Xu Wang; Hongzheng Zhang; James V. Little; Kelly R. Magliocca; Mihir Patel; Christopher C. Griffith; Mark W. El-Deiry; Amy Y. Chen (EMBC, 2017)

Heart chamber segmentation from CT using convolutional neural networks. - James D. Dormer; Ling Ma 004; Martin T. Halicek; Carolyn M. Reilly; Eduard Schreibmann; Baowei Fei (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches. - James D. Dormer; Martin T. Halicek; Ling Ma 004; Carolyn M. Reilly; Eduard Schreibmann; Baowei Fei (Computer-Aided Diagnosis, 2018)

Deformable registration of histological cancer margins to gross hyperspectral images using demons. - Martin T. Halicek; James V. Little; Xu Wang; Zhuo Georgia Chen; Mihir Patel; Christopher C. Griffith; Mark W. El-Deiry; Nabil F. Saba; Amy Y. Chen; Baowei Fei (Digital Pathology, 2018)

Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks. - Martin T. Halicek; James V. Little; Xu Wang; Mihir Patel; Christopher C. Griffith; Amy Y. Chen; Baowei Fei (Image-Guided Procedures, 2018)

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)

Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients. - Himar Fabelo; Martin T. Halicek; Samuel Ortega; Adam Szolna; Jesús Morera; Roberto Sarmiento; Gustavo M. Callicó; Baowei Fei (Image-Guided Procedures, 2019)

Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth. - Martin T. Halicek; Himar Fabelo; Samuel Ortega; James V. Little; Xu Wang; Amy Y. Chen; Gustavo Marrero Callicó; Larry L. Myers; Baran D. Sumer; Baowei Fei (Image-Guided Procedures, 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)

In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction. - Ling Ma 004; Martin T. Halicek; Baowei Fei (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. - Christopher T. Tran; Martin T. Halicek; James D. Dormer; Animesh Tandon; Tarique Hussain; Baowei Fei (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology. - Martin T. Halicek; Samuel Ortega; Himar Fabelo; Carlos López 002; Marylène Lejeune; Gustavo M. Callicó; Baowei Fei (Digital Pathology, 2020)

Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning. - Ling Ma 004; Martin T. Halicek; Ximing Zhou; James D. Dormer; Baowei Fei (Digital Pathology, 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)

Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. - Samuel Ortega; Martin T. Halicek; Himar Fabelo; Raúl Guerra; Carlos López 002; Marylène Lejeune; Fred Godtliebsen; Gustavo M. Callicó; Baowei Fei (Digital Pathology, 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)

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

Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. - Samuel Ortega; Martin T. Halicek; Himar Fabelo; Rafael Camacho; Maria De La Luz Plaza; Fred Godtliebsen; Gustavo M. Callicó; Baowei Fei (Sensors, 2020)

Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images. - Ka'Toria Edwards; Martin T. Halicek; James V. Little; Amy Y. Chen; Baowei Fei (Computer-Aided Diagnosis, 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)

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)