Prof. Pablo Vargas
Universidade Estadual de Campinas - UNICAMP
+1
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
Co-authors
Following
Followers
Research Focus & Metrics
Explore full metrics on Scilit
Academic Career Length
27Years (2000-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 February 2003 in International Journal of Oral and Maxillofacial Surgery
Journal Article
EFEduardo Rodrigues Fregnani
Eduardo Rodrigues FregnaniFPF.R. Pires
F.R. Pires
RFR. Falzoni
R. Falzoni
MLM.A. Lopes
M.A. Lopes
Pablo Vargas1 July 2005 in International Journal of Oral and Maxillofacial Surgery
Journal Article
FIF.A. Ito
F.A. Ito
KIK. Ito
K. Ito
Pablo VargasOAO.P. de Almeida
O.P. de Almeida
MLM.A. Lopes
M.A. Lopes
20 April 2007 in Journal of Oral Pathology & Medicine
Journal Article
HPHans Peter Philipsen
Hans Peter Philipsen
PRPeter A. Reichart
Peter A. ReichartCSChong Huat Siar
Chong Huat Siar
KNKok Han Ng
Kok Han Ng
SLShin Hin Lau
Shin Hin Lau
EAEzekiel Taiwo Adebayo
Ezekiel Taiwo Adebayo
+18
1 August 2012 in Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
Journal Article
FFFelipe Paiva Fonseca
Felipe Paiva Fonseca
Marianne de Vasconcelos CarvalhoOAOslei Paes de Almeida
Oslei Paes de Almeida
ARAna Lúcia Carrinho Ayroza Rangel
Ana Lúcia Carrinho Ayroza Rangel
MTMarcelo Caname Hirata Takizawa
Marcelo Caname Hirata Takizawa
Pablo Vargas +1
Journal Article
SCSeda Camalan
Seda Camalan
Hanya MahmoodHBHamidullah Binol
Hamidullah BinolAAAnna Luiza Damaceno Araújo
Anna Luiza Damaceno Araújo
Alan Roger Santos-Silva
Metin N. Gurcan +3
Oral cancer/oral squamous cell carcinoma is among the top ten most common cancers globally, with over 500,000 new cases and 350,000 associated deaths every year worldwide. There is a critical need for objective, novel technologies that facilitate early, accurate diagnosis. For this purpose, we have developed a method to classify images as “suspicious” and “normal” by performing transfer learning on Inception-ResNet-V2 and generated automated heat maps to highlight the region of the images most likely to be involved in decision making. We have tested the developed method’s feasibility on two independent datasets of clinical photographic images of 30 and 24 patients from the UK and Brazil, respectively. Both 10-fold cross-validation and leave-one-patient-out validation methods were performed to test the system, achieving accuracies of 73.6% (±19%) and 90.9% (±12%), F1-scores of 97.9% and 87.2%, and precision values of 95.4% and 99.3% at recall values of 100.0% and 81.1% on these two respective cohorts. This study presents several novel findings and approaches, namely the development and validation of our methods on two datasets collected in different countries showing that using patches instead of the whole lesion image leads to better performance and analyzing which regions of the images are predictive of the classes using class activation map analysis.
1 January 2012 in Medicina Oral Patología Oral y Cirugia Bucal
Journal Article
RGRo. Gondak
Ro. GondakRSR. da Silva-Jorge
R. da Silva-Jorge
JJJ. Jorge
J. Jorge
MLMa. Lopes
Ma. Lopes
Pablo VargasDiagnosis of pigmented lesions of the oral cavity and perioral tissues is challenging. Even though epidemiology may be of some help in orientating the clinician and even though some lesions may confidently be diagnosed on clinical grounds alone, the definitive diagnosis usually requires histopathologic evaluation. Oral pigmentation can be physiological or pathological, and exogenous or endogenous. Color, location, distribution, and duration as well as drugs use, family history, and change in pattern are important for the differential diagnosis. Dark or black pigmented lesions can be focal, multifocal or diffuse macules, including entities such as racial pigmentation, melanotic macule, melanocytic nevus, blue nevus, smoker's melanosis, oral melanoacanthoma, pigmentation by foreign bodies or induced by drugs, Peutz-Jeghers syndrome, Addison's disease and oral melanoma. The aim of this review is to present the main oral black lesions contributing to better approach of the patients.
About Me
Professor Pablo Vargas is a dental graduate of the UNESP-Araraquara-Brazil and obtained a Master of Science and PhD titles in Oral Pathology at UNICAMP-Piracicaba-Brazil. He worked as Honorary Senior Lecturer of the Department of Oral Pathology of the University of Sheffield-UK (2005-2007) and is Fellow of Royal College of Pathologists – UK (2013 to date). He has been teaching Oral Pathology in the Piracicaba Dental School-UNICAMP and has authored or co-authored chapters and 242 scientific papers (220 indexed in PUBMED, 1.910 citations ISI) on Oral Pathology and Medicine. He belongs to the editorial board of 3 renowned international journals: 1- Oral Surgery Oral Medicine Oral Pathology Oral Radiology; 2- Oral Oncology; 3-Medicina Oral. He also is a diagnostic pathologist of oral and maxillofacial lesions and his main research fields are oral cancer, salivary gland tumors, odontogenic tumours and fine needle aspiration cytology. He acted as IAOP Councillor for Latin America and the Caribbean (2008-2012) and was the local chair of IAOP-SOBEP Joint Meeting (São Pedro-SP 2012). He has been working as Extraordinary Professor of Oral Pathology at University of Pretoria (South Africa – 2014 to date) and served as Executive Director for International Relations at UNICAMP (2017). He is the current Treasurer of Brazilian Society of Oral Medicine and Oral Pathology (SOBEP).