James V. Little

Medicine · Health Sciences

19h-index1.6kcitations36works0.02yr avg
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Research Topics

Infrared Thermography in Medicine(15), Optical Imaging and Spectroscopy Techniques(12), AI in cancer detection(8), Photoacoustic and Ultrasonic Imaging(8), Radiomics and Machine Learning in Medical Imaging(8)

Publications36 total

Figure S1, Table S1-S3 from Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging
2023Open Access
Figure S1, Table S1-S3 from Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging
2023Open Access
Data from Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging
2023Open Access
Data from Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging
2023· 1 citedOpen Access
Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging (Erratum)
Journal of Biomedical Optics·2022· 2 citedOpen Access
Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging
Journal of Biomedical Optics·2022· 30 citedOpen Access
Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features
Medical Imaging 2022: Computer-Aided Diagnosis·2022· 2 citedOpen Access
Pixel-level tumor margin assessment of surgical specimen in hyperspectral imaging and deep learning classification
2021· 11 citedOpen Access
Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images
2021· 10 citedOpen Access
Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images
2020· 12 citedOpen Access
Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning
Biomedical Optics Express·2020· 116 citedOpen Access
Histopathology Feature Mining and Association with Hyperspectral Imaging for the Detection of Squamous Neoplasia
Scientific Reports·2019· 22 citedOpen Access
Head and Neck Cancer Detection in Digitized Whole-Slide Histology Using Convolutional Neural Networks
Scientific Reports·2019· 115 citedOpen Access
Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens
Journal of Medical Imaging·2019· 37 citedOpen Access
Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning
Cancers·2019· 131 citedOpen Access
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks
Journal of Biomedical Optics·2019· 77 citedOpen Access
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks
2019· 13 citedOpen Access
Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth
2019· 19 citedOpen Access
Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks
2018· 46 citedOpen Access
Deformable registration of histological cancer margins to gross hyperspectral images using demons
2018· 12 citedOpen Access
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Frequent Co-authors

Amy Y. Chen(26), Baowei Fei(26), Martin Halicek(16), Mihir R. Patel(11), Guolan Lu(10), Mark W. El‐Deiry(9), Larry L. Myers(9), Hongzheng Zhang(8), Baran D. Sumer(8), Christopher Griffith(7), Xu Wang(7), Xu Wang(6), Maysam Shahedi(5), Christopher C. Griffith(4), Ling Ma(3), James D. Dormer(2), Himar Fabelo(2), Samuel Ortega(2), Gustavo M. Callicó(2), Momin T. Siddiqui(2)