Advancing Thyroid Pathologies Detection with Recurrent Neural Networks and Micro-FTIR Hyperspectral Imaging. - Matheus de Freitas Oliveira Baffa; Luciano Bachmann; Denise Maria Zezell; Thiago Martini Pereira; Thomas Martin Deserno; Joaquim Cezar Felipe (CBMS, 2023)

One-dimensional convolutional neural network model for breast cancer subtypes classification and biochemical content evaluation using micro-FTIR hyperspectral images. - Matheus del-Valle; Emerson Soares Bernardes; Denise Maria Zezell (CoRR, 2023)

Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67. - Matheus del-Valle; Emerson Soares Bernardes; Denise Maria Zezell (CoRR, 2023)

Deep neural networks can differentiate thyroid pathologies on infrared hyperspectral images. - Matheus de Freitas Oliveira Baffa; Denise Maria Zezell; Luciano Bachmann; Thiago Martini Pereira; Thomas Martin Deserno; Joaquim Cezar Felipe (Comput. Methods Programs Biomed., 2024)