Cristián Navarrete‐Dechent

Author

Pontificia Universidad Católica de Chile ORCID

Also Known As

C Navarrete-Dechent, C. Navarrete-Dechent, C. Navarrete‐Dechent, Constanza del Puerto, Cristian Navarrete, Cristian Navarrete-Dechent, Cristian Navarrete‐Dechent, Cristian P. Navarrete-Dechent, Cristian Patricio Navarrete, Cristian Patricio Navarrete-Dechent

274

Publications

3.5K

Citations

H-Index

Concepts

All Affiliations

Pontificia Universidad Católica de Chile Memorial Sloan Kettering Cancer Center Cornell University Universitat de Barcelona National and Kapodistrian University of Athens

About

Cristián Navarrete‐Dechent is an author at Pontificia Universidad Católica de Chile specializing in medicine, dermatology, and histopathology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	17	26	747
2	Health Sciences	7	7	179
3	Engineering	5	5	183
4	Immunology	1	1	12
5	Molecular Medicine	1	1	25

Cristián Navarrete‐Dechent

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts Sarah Haggenmüller, Roman C. Maron, Achim Hekler, European Journal of Cancer	2021	233
Atenolol versus propranolol for the treatment of infantile hemangiomas: A randomized controlled study Álvaro Abarzúa, Cristián Navarrete‐Dechent, Felipe Heusser, Journal of the American Academy of Dermatology Atenolol Versus PropranololHematologyPediatricsVascular MalformationSurgery	2014	125
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma Tirtha Chanda, Katja Hauser, Sarah Hobelsberger, Nature Communications Artificial IntelligenceDermoscopic ImageTrustworthy Artificial IntelligenceEngineeringTrustworthy Ai	2024	120
Evaluation of a Combined Reflectance Confocal Microscopy–Optical Coherence Tomography Device for Detection and Depth Assessment of Basal Cell Carcinoma Aditi Sahu, Oriol Yélamos, Nicusor Iftimia, JAMA Dermatology	2018	77
Evaluation of Artificial Intelligence–Assisted Diagnosis of Skin Neoplasms: A Single-Center, Paralleled, Unmasked, Randomized Controlled Trial Seung Seog Han, Young Jae Kim, Ik Jun Moon, Journal of Investigative Dermatology Dermoscopic ImageSkin NeoplasmsSurgical PathologyDiagnosisRandomized Controlled Trial	2022	66
Performance of a deep neural network in teledermatology: a single‐centre prospective diagnostic study C Muñoz-López, Cristian Ramírez‐Cornejo, Michael A. Marchetti, Journal of the European Academy of Dermatology and Venereology	2020	64
Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy Gabriele Campanella, Cristián Navarrete‐Dechent, Konstantinos Liopyris, Journal of Investigative Dermatology Dermoscopic ImageCell DetectionTissue ImagingMedical ImagingMicroscopy	2021	57
Association of Shiny White Blotches and Strands With Nonpigmented Basal Cell Carcinoma Cristián Navarrete‐Dechent, Shirin Bajaj, Michael A. Marchetti, JAMA Dermatology	2016	53
In vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response Aditi Sahu, Lukas Kraehenbuehl, Candice Byers, Nature Communications	2022	48
Position statement of the <scp>EADV</scp> Artificial Intelligence (<scp>AI</scp>) Task Force on <scp>AI</scp>‐assisted smartphone apps and web‐based services for skin disease Tobias E. Sangers, Harald Kittler, Andreas Blum, Journal of the European Academy of Dermatology and Venereology	2023	47

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