Josep Malvehy

Orcid: 0000-0002-6998-914X

Affiliations:
  • Hospital Clinic of Barcelona, Dermatology Department, IDIBAPS, Melanoma Unit, Spain


According to our database1, Josep Malvehy authored at least 18 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Contrastive and Attention-Based Multiple Instance Learning for the Prediction of Sentinel Lymph Node Status from Histopathologies of Primary Melanoma Tumours.
Proceedings of the Cancer Prevention Through Early Detection, 2022

2020
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context.
CoRR, 2020

Hi Sigma, do I have the Coronavirus?: Call for a New Artificial Intelligence Approach to Support Health Care Professionals Dealing With The COVID-19 Pandemic.
CoRR, 2020

Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
An Improved Skin Lesion Matching Scheme in Total Body Photography.
IEEE J. Biomed. Health Informatics, 2019

BCN20000: Dermoscopic Lesions in the Wild.
CoRR, 2019

Digitally Stained Confocal Microscopy through Deep Learning.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Polarized Multispectral Imaging for the Diagnosis of Skin Cancer.
Proceedings of the 27th Color and Imaging Conference, 2019

2018
Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis.
Sensors, 2018

Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards.
J. Digit. Imaging, 2018

2017
Infrared Imaging Spectroscopic System for the Detection of Skin Cancer: Preliminary results.
Proceedings of the 25th Color and Imaging Conference, 2017

2015
A New Total Body Scanning System for Automatic Change Detection in Multiple Pigmented Skin Lesions.
IEEE Trans. Medical Imaging, 2015

2013
Melanoma Diagnosis Based on Collaborative Multi-Label Reasoning.
Proceedings of the Artificial Intelligence Research and Development, 2013

2008
Experiences Using Clustering and Gernalization for Knowledge Discovery in Melanomas Domain.
Trans. Mach. Learn. Data Min., 2008

Identification of Relevant Knowledge for Characterizing the Melanoma Domain.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Experiences Using Clustering and Generalizations for Knowledge Discovery in Melanomas Domain.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

Pattern Discovery in Melanoma Domain Using Partitional Clustering.
Proceedings of the Artificial Intelligence Research and Development, 2008

Using Ensemble-Based Reasoning to Help Experts in Melanoma Diagnosis.
Proceedings of the Artificial Intelligence Research and Development, 2008


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