Dr. Ramon Gabriel Teixeira Rosa Profile

Dr. Ramon Gabriel Teixeira Rosa

PhD Student at Instituto de Fisica de São Carlos

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Author

Publications (12)

SPIE Journal Paper | 14 June 2022 Open Access

Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning

Priyanka Vasanthakumari, Renan Romano, Ramon G. Rosa, Ana G. Salvio, Vladislav Yakovlev, Cristina Kurachi, Jason Hirshburg, Javier Jo

JBO, Vol. 27, Issue 06, 066002, (June 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.6.066002

KEYWORDS: Skin, Melanoma, Luminescence, Tumor growth modeling, Skin cancer, Data analysis, Biopsy, Multispectral imaging, Feature extraction, Feature selection

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Significance: Accurate early diagnosis of malignant skin lesions is critical in providing adequate and timely treatment; unfortunately, initial clinical evaluation of similar-looking benign and malignant skin lesions can result in missed diagnosis of malignant lesions and unnecessary biopsy of benign ones. Aim: To develop and validate a label-free and objective image-guided strategy for the clinical evaluation of suspicious pigmented skin lesions based on multispectral autofluorescence lifetime imaging (maFLIM) dermoscopy. Approach: We tested the hypothesis that maFLIM-derived autofluorescence global features can be used in machine-learning (ML) models to discriminate malignant from benign pigmented skin lesions. Clinical widefield maFLIM dermoscopy imaging of 41 benign and 19 malignant pigmented skin lesions from 30 patients were acquired prior to tissue biopsy sampling. Three different pools of global image-level maFLIM features were extracted: multispectral intensity, time-domain biexponential, and frequency-domain phasor features. The classification potential of each feature pool to discriminate benign versus malignant pigmented skin lesions was evaluated by training quadratic discriminant analysis (QDA) classification models and applying a leave-one-patient-out cross-validation strategy. Results: Classification performance estimates obtained after unbiased feature selection were as follows: 68% sensitivity and 80% specificity with the phasor feature pool, 84% sensitivity, and 71% specificity with the biexponential feature pool, and 84% sensitivity and 32% specificity with the intensity feature pool. Ensemble combinations of QDA models trained with phasor and biexponential features yielded sensitivity of 84% and specificity of 90%, outperforming all other models considered. Conclusions: Simple classification ML models based on time-resolved (biexponential and phasor) autofluorescence global features extracted from maFLIM dermoscopy images have the potential to provide objective discrimination of malignant from benign pigmented lesions. ML-assisted maFLIM dermoscopy could potentially assist with the clinical evaluation of suspicious lesions and the identification of those patients benefiting the most from biopsy examination.

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Proceedings Article | 3 March 2022 Presentation + Paper

AI-driven discrimination of benign from malignant pigmented skin lesions based on multispectral autofluorescence lifetime dermoscopy imaging

Priyanka Vasanthakumari, Renan Romano, Ramon G. Rosa, Ana Salvio, Vladislav Yakovlev, Cristina Kurachi, Javier Jo

Proceedings Volume 11934, 1193408 (2022) https://doi.org/10.1117/12.2610345

KEYWORDS: Skin, Melanoma, Skin cancer, Neurons, Biopsy, Performance modeling, Image classification, Machine learning, Fluorescence lifetime imaging

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Proceedings Article | 28 February 2020 Presentation + Paper

Classification of skin-cancer lesions based on fluorescence lifetime imaging

Priyanka Vasanthakumari, Renan Romano, Ramon G. Rosa, Ana Salvio, Vladislav Yakovlev, Cristina Kurachi, Javier Jo

Proceedings Volume 11317, 113170Z (2020) https://doi.org/10.1117/12.2548625

KEYWORDS: Fluorescence lifetime imaging, Skin, Tissues, Skin cancer, Data analysis, Feature extraction, Luminescence, Melanoma, Biopsy, Diagnostics

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Proceedings Article | 13 March 2019 Presentation

Third-order nonlinear optical characterization of fs-laser micromachined waveguides in Gorilla Glass (Conference Presentation)

Cleber Mendonça, Franciele Henrique, Gustavo Almeida, Renato Martins, Ramon Rosa, Jonathas Siqueira, Marcelo Andrade

Proceedings Volume 10905, 109050R (2019) https://doi.org/10.1117/12.2508044

KEYWORDS: Waveguides, Glasses, Photonic devices, Raman spectroscopy, Doping, Tablets, Femtosecond phenomena, Multiphoton lithography, Laser processing, Refractive index

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Proceedings Article | 4 March 2019 Paper

Label-free multispectral lifetime fluorescence to distinguish skin lesions

Renan Romano, Ramon G. Rosa, Javier Jo, Cristina Kurachi

Proceedings Volume 10890, 108902L (2019) https://doi.org/10.1117/12.2510498

KEYWORDS: Luminescence, Skin, Fluorescence lifetime imaging, Skin cancer, Cancer, Biopsy, Tissue optics, Tissues, In vivo imaging, Optical inspection

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Proceedings Article | 14 March 2018 Presentation

Blind multi-exponential deconvolution for FLIM data processing (Conference Presentation)

Daniel U. Campos-Delgado, Elvis Duran, Ramon Rosa, Javier Jo

Proceedings Volume 10497, 104970S (2018) https://doi.org/10.1117/12.2291077

KEYWORDS: Deconvolution, Fluorescence lifetime imaging, Data processing, Optimization (mathematics), Microscopy, Statistical analysis, In vivo imaging, Image analysis

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Proceedings Article | 14 February 2018 Presentation + Paper

Dual-channel (green and red) fluorescence microendoscope with subcellular resolution

Camila de Paula D'Almeida, Thereza Cury Fortunato, Ramon Gabriel Teixeira Rosa, Renan Arnon Romano, Lilian Tan Moriyama, Sebastião Pratavieira

Proceedings Volume 10470, 1047016 (2018) https://doi.org/10.1117/12.2290923

KEYWORDS: Luminescence, Tissues, Photodynamic therapy, Fluorescent markers, Tissue optics, Optical filters, Biopsy

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SPIE Journal Paper | 19 October 2017 Open Access

Portable fluorescence lifetime spectroscopy system for in-situ interrogation of biological tissues

Marcelo Saito Nogueira, Alessandro Cosci, Ramon Gabriel Teixeira Rosa, Ana Gabriela Sálvio, Sebastião Pratavieira, Cristina Kurachi

JBO, Vol. 22, Issue 12, 121608, (October 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.12.121608

KEYWORDS: Luminescence, Tissues, Fluorescence spectroscopy, Skin, Spectroscopy, Tissue optics, Calibration, Bandpass filters, Pulsed laser operation, Collagen

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Proceedings Article | 7 March 2016 Paper

Tissue slides analysis using red, green, and blue LEDs as microscope light source

Sebastião Pratavieira, Felipe Navascues, Larissa de Souza, Ramon Rosa, Cristina Kurachi, Vanderlei Bagnato

Proceedings Volume 9703, 97031X (2016) https://doi.org/10.1117/12.2211702

KEYWORDS: RGB color model, Light emitting diodes, Tissue optics, Biological research, Microscopes, Microscopy, Optical microscopy, Blue light emitting diodes, Light sources, Transmittance, Optical filters, Lamps, Light

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Proceedings Article | 19 June 2015 Paper

Portable fluorescence microendoscope system for smartphones and its applications

Pablo Aurelio Gómez García, Ramon Gabriel Teixeira Rosa, Sebastião Pratavieira, Cristina Kurachi

Proceedings Volume 9531, 953149 (2015) https://doi.org/10.1117/12.2180987

KEYWORDS: Tissues, Luminescence, Image processing, Light emitting diodes, Microscopes, Cancer, Diagnostics, Optical filters, Microscopy, Fiber optics

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Proceedings Article | 19 June 2015 Paper

Assembly and characterization of a fluorescence lifetime spectroscopy system for skin lesions diagnostic

Marcelo Saito Nogueira, Ramon Gabriel Teixeira Rosa, Sebastião Pratavieira, Camila de Paula D'Almeida, Cristina Kurachi

Proceedings Volume 9531, 95313D (2015) https://doi.org/10.1117/12.2180599

KEYWORDS: Luminescence, Rhodamine, Spectroscopy, Tissues, Fluorescence spectroscopy, Diagnostics, Calibration, Molecules, Skin, Picosecond phenomena

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Proceedings Article | 19 June 2015 Paper

Image correlation based method for the analysis of collagen fibers patterns

Ramon G. Rosa, Sebastião Pratavieira, Cristina Kurachi

Proceedings Volume 9531, 95310B (2015) https://doi.org/10.1117/12.2180920

KEYWORDS: Collagen, Skin, Second-harmonic generation, Image analysis, Microscopy, Anisotropy, Electroluminescent displays, Fourier transforms, Harmonic generation, Binary data

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Showing 5 of 12 publications

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