b'Sandra Avila'

research

∙ 08/14/2023

The Performance of Transferability Metrics does not Translate to Medical Tasks

Transfer learning boosts the performance of medical image analysis by en...

0 Levy Chaves, et al. ∙

research

∙ 08/10/2023

Test-Time Selection for Robust Skin Lesion Analysis

Skin lesion analysis models are biased by artifacts placed during image ...

0 Alceu Bissoto, et al. ∙

research

∙ 05/09/2023

Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues

Distribution shifts are common in real-world datasets and can affect the...

0 Alceu Bissoto, et al. ∙

research

∙ 11/01/2022

Should I disclose my dataset? Caveats between reproducibility and individual data rights

Natural language processing techniques have helped domain experts solve ...

0 Raysa M. Benatti, et al. ∙

research

∙ 08/20/2022

Artifact-Based Domain Generalization of Skin Lesion Models

Deep Learning failure cases are abundant, particularly in the medical ar...

0 Alceu Bissoto, et al. ∙

research

∙ 06/01/2022

A Survey on Deep Learning for Skin Lesion Segmentation

Skin cancer is a major public health problem that could benefit from com...

0 Zahra Mirikharaji, et al. ∙

research

∙ 04/29/2022

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets

The online sharing and viewing of Child Sexual Abuse Material (CSAM) are...

1 Camila Laranjeira, et al. ∙

research

∙ 10/02/2021

Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification

Citrus juices and fruits are commodities with great economic potential i...

2 Edson Bollis, et al. ∙

research

∙ 09/28/2021

CIDEr-R: Robust Consensus-based Image Description Evaluation

This paper shows that CIDEr-D, a traditional evaluation metric for image...

0 Gabriel Oliveira dos Santos, et al. ∙

research

∙ 06/17/2021

An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis

Self-supervised pre-training appears as an advantageous alternative to s...

0 Levy Chaves, et al. ∙

research

∙ 04/20/2021

GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review

Despite the growing availability of high-quality public datasets, the la...

0 Alceu Bissoto, et al. ∙

research

∙ 03/21/2021

#PraCegoVer: A Large Dataset for Image Captioning in Portuguese

Automatically describing images using natural sentences is an important ...

0 Gabriel Oliveira dos Santos, et al. ∙

research

∙ 04/28/2020

Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation

Segmenting skin lesions images is relevant both for itself and for assis...

6 Vinícius Ribeiro, et al. ∙

research

∙ 04/23/2020

Debiasing Skin Lesion Datasets and Models? Not So Fast

Data-driven models are now deployed in a plethora of real-world applicat...

13 Alceu Bissoto, et al. ∙

research

∙ 04/22/2020

Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

Pests and diseases are relevant factors for production losses in agricul...

0 Edson Bollis, et al. ∙

research

∙ 10/29/2019

The Six Fronts of the Generative Adversarial Networks

Generative Adversarial Networks fostered a newfound interest in generati...

18 Alceu Bissoto, et al. ∙

research

∙ 07/26/2019

Grape detection, segmentation and tracking using deep neural networks and three-dimensional association

Agricultural applications as yield prediction, precision agriculture and...

6 Thiago T. Santos, et al. ∙

research

∙ 06/06/2019

Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation

In this work, we explore the issue of the inter-annotator agreement for ...

7 Vinícius Ribeiro, et al. ∙

research

∙ 04/29/2019

Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification

Convolutional neural networks (CNNs) deliver exceptional results for com...

4 Fábio Perez, et al. ∙

research

∙ 04/18/2019

Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons

Watching cartoons can be useful for children's intellectual, social and ...

10 Akari Ishikawa, et al. ∙

research

∙ 04/18/2019

(De)Constructing Bias on Skin Lesion Datasets

Melanoma is the deadliest form of skin cancer. Automated skin lesion ana...

22 Alceu Bissoto, et al. ∙

research

∙ 02/08/2019

Skin Lesion Synthesis with Generative Adversarial Networks

Skin cancer is by far the most common type of cancer. Early detection is...

4 Alceu Bissoto, et al. ∙

research

∙ 09/05/2018

Data Augmentation for Skin Lesion Analysis

Deep learning models show remarkable results in automated skin lesion an...

10 Fábio Perez, et al. ∙

research

∙ 08/25/2018

Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018

This extended abstract describes the participation of RECOD Titans in pa...

4 Alceu Bissoto, et al. ∙

research

∙ 11/01/2017

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening

State of the art on melanoma screening evolved rapidly in the last two y...

0 Eduardo Valle, et al. ∙

research

∙ 03/22/2017

Knowledge Transfer for Melanoma Screening with Deep Learning

Knowledge transfer impacts the performance of deep learning -- the state...

0 Afonso Menegola, et al. ∙

research

∙ 03/14/2017

RECOD Titans at ISIC Challenge 2017

This extended abstract describes the participation of RECOD Titans in pa...

0 Afonso Menegola, et al. ∙

research

∙ 09/05/2016

Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes

Deep learning is the current bet for image classification. Its greed for...

0 Afonso Menegola, et al. ∙

research

∙ 04/14/2016

Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results

In this paper we survey, analyze and criticize current art on automated ...

0 Michel Fornaciali, et al. ∙

Sandra Avila

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