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Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology|July 11, 2021
Dimensional measurement accuracy of 3-dimensional models from cone beam computed tomography using different voxel sizesNirza Mukhia, N Praveen Birur, A R Shubhasini, et al.
Cancers|August 26, 2023
AI-Assisted Screening of Oral Potentially Malignant Disorders Using Smartphone-Based Photographic ImagesVivek Talwar, Pragya Singh, Nirza Mukhia, et al.
Plos One|September 25, 2023
CD44-SNA1 integrated cytopathology for delineation of high grade dysplastic and neoplastic oral lesionsSumsum P Sunny, Ravindra D R, Aditi Hariharan, et al.
Journal of Biomedical Optics|June 24, 2021
Mobile-based oral cancer classification for point-of-care screeningBofan Song, Sumsum Sunny, Shaobai Li, et al.
Indian Journal of Cancer|November 22, 2022
Consensus guidelines on management of oral potentially malignant disordersPraveen N Birur, Sanjana Patrick, Saman Warnakulasuriya, et al.
Journal of Biomedical Optics|November 4, 2022
Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer imagesBofan Song, Shaobai Li, Sumsum Sunny, et al.
Journal of Biomedical Optics|January 13, 2022
Interpretable deep learning approach for oral cancer classification using guided attention inference networkKevin Chew Figueroa, Bofan Song, Sumsum Sunny, et al.
Journal of Biomedical Optics|October 24, 2021
Classification of imbalanced oral cancer image data from high-risk populationBofan Song, Shaobai Li, Sumsum Sunny, et al.
Biomedical Optics Express|November 8, 2021
Bayesian deep learning for reliable oral cancer image classificationBofan Song, Sumsum Sunny, Shaobai Li, et al.
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