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Catarina Barata
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2020 – today
- 2024
- [j14]Alceu Bissoto
, Catarina Barata
, Eduardo Valle, Sandra Avila:
Even small correlation and diversity shifts pose dataset-bias issues. Pattern Recognit. Lett. 179: 87-93 (2024) - [i8]Miguel Correia, Alceu Bissoto, Carlos Santiago, Catarina Barata:
XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision. CoRR abs/2402.01410 (2024) - [i7]Laura Santos, Bernardo Carvalho, Catarina Barata, José Santos-Victor:
Extending 3D body pose estimation for robotic-assistive therapies of autistic children. CoRR abs/2402.08006 (2024) - [i6]Diogo J. Araújo, Maria Rita Verdelho, Alceu Bissoto, Jacinto C. Nascimento, Carlos Santiago, Catarina Barata:
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis. CoRR abs/2405.01654 (2024) - [i5]Tiago Mota, Maria Rita Verdelho, Alceu Bissoto, Carlos Santiago, Catarina Barata:
MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems. CoRR abs/2405.01658 (2024) - 2023
- [j13]Zahra Mirikharaji
, Kumar Abhishek
, Alceu Bissoto
, Catarina Barata
, Sandra Avila
, Eduardo Valle
, M. Emre Celebi
, Ghassan Hamarneh
:
A survey on deep learning for skin lesion segmentation. Medical Image Anal. 88: 102863 (2023) - [j12]M. Emre Celebi
, Catarina Barata
, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu:
Guest Editorial Skin Image Analysis in the Age of Deep Learning. IEEE J. Biomed. Health Informatics 27(1): 143-144 (2023) - [c40]António Mendes, Catarina Barata:
Intrapatient Diagnosis for Melanoma Skin Cancer. ISBI 2023: 1-4 - [c39]Alceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila:
Test-Time Selection for Robust Skin Lesion Analysis. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 37-46 - [c38]Carlos Santiago, Miguel Correia, Maria Rita Verdelho, Alceu Bissoto, Catarina Barata:
Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 47-56 - [e1]M. Emre Celebi
, Md Sirajus Salekin, Hyunwoo J. Kim
, Shadi Albarqouni
, Catarina Barata, Allan Halpern
, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi
, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas
, Xiaoxiao Li
, Chen Qin
, Nicola Rieke, Holger Roth
, Daguang Xu
:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [i4]Alceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila:
Even Small Correlation and Diversity Shifts Pose Dataset-Bias Issues. CoRR abs/2305.05807 (2023) - [i3]Alceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila:
Test-Time Selection for Robust Skin Lesion Analysis. CoRR abs/2308.05595 (2023) - 2022
- [j11]M. Emre Celebi, Catarina Barata
, Allan Halpern
, Philipp Tschandl, Marc Combalia, Yuan Liu:
Guest editorial: Image analysis in dermatology. Medical Image Anal. 79: 102468 (2022) - [c37]Alceu Bissoto
, Catarina Barata
, Eduardo Valle
, Sandra Avila
:
Artifact-Based Domain Generalization of Skin Lesion Models. ECCV Workshops (4) 2022: 133-149 - [c36]Beatriz Alves, Catarina Barata
, Jorge S. Marques:
Diagnosis of Skin Cancer Using Hierarchical Neural Networks and Metadata. IbPRIA 2022: 69-80 - [c35]Laura Santos, Bárbara Silva, Filippo Maddaloni, Alice Geminiani, Arianna Caglio, Silvia Annunziata, Ivana Olivieri, Catarina Barata
, José Santos-Victor
, Alessandra Pedrocchi:
Sharing Worlds: Design of a Real-Time Attention Classifier for Robotic Therapy of ASD Children*. ICORR 2022: 1-6 - [c34]Lisa Kuhlmann, Milad Niknejad, Catarina Barata, Alexandre Bernardino, Gefei Zhang:
An Adversarial Method for Semi-supervised Segmentation of Smoke and Fire in Images. ICPR Workshops (2) 2022: 123-132 - [c33]Sara Fernandes, Milad Niknejad
, Catarina Barata
, Alexandre Bernardino
:
Forest Fires Identification Using Self-Supervised Learning. ICPR Workshops (2) 2022: 203-212 - [c32]Bernardo Amaral, Milad Niknejad, Catarina Barata
, Alexandre Bernardino:
Weakly Supervised Fire and Smoke Segmentation in Forest Images with CAM and CRF. ICPR 2022: 442-448 - [c31]Pedro Bilro, Catarina Barata
, Jorge S. Marques:
Pedestrian Trajectory Prediction Using LSTM and Sparse Motion Fields. ICPR 2022: 3529-3535 - [c30]Maria Rita Verdelho
, Catarina Barata
:
On The Impact of Self-Supervised Learning in Skin Cancer Diagnosis. ISBI 2022: 1-5 - [c29]Maria Rita Verdelho
, Simão Gonçalves, Luisa Gonçalves, Catarina Costa, José M. Lopes
, Margarida M. V. Coelho, Alexandre João, Paula Soares, Helena Pópulo, Catarina Barata
:
Predictive Biomarkers in Melanoma: Detection of BRAF Mutation Using Dermoscopy. AIIIMA/MIABID@MICCAI 2022: 176-186 - [i2]Zahra Mirikharaji, Catarina Barata
, Kumar Abhishek
, Alceu Bissoto, Sandra Avila, Eduardo Valle, M. Emre Celebi, Ghassan Hamarneh:
A Survey on Deep Learning for Skin Lesion Segmentation. CoRR abs/2206.00356 (2022) - [i1]Alceu Bissoto, Catarina Barata
, Eduardo Valle, Sandra Avila:
Artifact-Based Domain Generalization of Skin Lesion Models. CoRR abs/2208.09756 (2022) - 2021
- [j10]Catarina Barata
, M. Emre Celebi
, Jorge S. Marques
:
Explainable skin lesion diagnosis using taxonomies. Pattern Recognit. 110: 107413 (2021) - [j9]Carlos Santiago
, Catarina Barata
, Michele Sasdelli
, Gustavo Carneiro
, Jacinto C. Nascimento:
LOW: Training deep neural networks by learning optimal sample weights. Pattern Recognit. 110: 107585 (2021) - [j8]Catarina Barata
, Jacinto C. Nascimento, João Miranda Lemos, Jorge S. Marques
:
Sparse motion fields for trajectory prediction. Pattern Recognit. 110: 107631 (2021) - [c28]Catarina Barata
, Carlos Santiago
:
Improving the Explainability of Skin Cancer Diagnosis Using CBIR. MICCAI (3) 2021: 550-559 - 2020
- [c27]Catarina Barata
, Carlos Santiago:
How Important Is Each Dermoscopy Image? CVPR Workshops 2020: 3202-3210
2010 – 2019
- 2019
- [j7]Catarina Barata
, M. Emre Celebi
, Jorge S. Marques
:
A Survey of Feature Extraction in Dermoscopy Image Analysis of Skin Cancer. IEEE J. Biomed. Health Informatics 23(3): 1096-1109 (2019) - [c26]Catarina Barata
, Jorge S. Marques
, M. Emre Celebi:
Deep Attention Model for the Hierarchical Diagnosis of Skin Lesions. CVPR Workshops 2019: 2757-2765 - [c25]Bárbara Ferreira, Catarina Barata
, Jorge S. Marques
:
What Is the Role of Annotations in the Detection of Dermoscopic Structures? IbPRIA (2) 2019: 3-11 - [c24]Ana Portêlo, Andrea Cavallaro, Catarina Barata
, Jorge S. Marques
:
Description and Recognition of Activity Patterns Using Sparse Vector Fields. IbPRIA (1) 2019: 239-248 - [c23]Catarina Barata
, Jacinto C. Nascimento, Jorge S. Marques
:
Multiple Agents Representation Using Motion Fields. ICASSP 2019: 2007-2011 - [c22]Catarina Barata
, Mário A. T. Figueiredo, Jorge S. Marques
:
Multiple Motion Fields for Multiple Types of Agents. ICIP 2019: 1287-1291 - [c21]Catarina Barata
, Jorge S. Marques
:
Deep Learning For Skin Cancer Diagnosis With Hierarchical Architectures. ISBI 2019: 841-845 - 2018
- [c20]Catarina Barata
, Jacinto C. Nascimento, Jorge S. Marques
:
Improving a Switched Vector Field Model for Pedestrian Motion Analysis. ACIVS 2018: 3-13 - [c19]Ana Portêlo, Jorge S. Marques
, Catarina Barata
, João Miranda Lemos:
Distributed Estimation of Vector Fields. ACIVS 2018: 38-50 - [c18]Catarina Barata
, João Miranda Lemos, Jorge S. Marques
:
Estimation of Space-Varying Covariance Matrices. ICIP 2018: 4003-4007 - 2017
- [j6]Margarida Ruela, Catarina Barata
, Jorge S. Marques
, Jorge Rozeira:
A system for the detection of melanomas in dermoscopy images using shape and symmetry features. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(2): 127-137 (2017) - [j5]Catarina Barata
, M. Emre Celebi, Jorge S. Marques
:
Development of a clinically oriented system for melanoma diagnosis. Pattern Recognit. 69: 270-285 (2017) - [c17]Catarina Barata
, Mário A. T. Figueiredo, M. Emre Celebi, Jorge S. Marques
:
Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding. IbPRIA 2017: 528-536 - [c16]Catarina Barata
, Jacinto C. Nascimento, Jorge S. Marques
:
A sparse approach to pedestrian trajectory modeling using multiple motion fields. ICIP 2017: 2538-2542 - 2016
- [j4]Catarina Barata
, M. Emre Celebi, Jorge S. Marques
, Jorge Rozeira:
Clinically inspired analysis of dermoscopy images using a generative model. Comput. Vis. Image Underst. 151: 124-137 (2016) - 2015
- [j3]Catarina Barata
, M. Emre Celebi
, Jorge S. Marques
:
Improving Dermoscopy Image Classification Using Color Constancy. IEEE J. Biomed. Health Informatics 19(3): 1146-1152 (2015) - [c15]Catarina Barata
, M. Emre Celebi, Jorge S. Marques
:
Melanoma detection algorithm based on feature fusion. EMBC 2015: 2653-2656 - [c14]Catarina Barata
, M. Emre Celebi, Jorge S. Marques
:
A clinically oriented system for melanoma diagnosis using a color representation. EMBC 2015: 7462-7465 - [c13]Catarina Barata
, M. Emre Celebi, Jorge S. Marques
:
Color Detection in Dermoscopy Images Based on Scarce Annotations. IbPRIA 2015: 309-316 - 2014
- [j2]Catarina Barata
, Margarida Ruela, Mariana Francisco, Teresa Mendonça
, Jorge S. Marques
:
Two Systems for the Detection of Melanomas in Dermoscopy Images Using Texture and Color Features. IEEE Syst. J. 8(3): 965-979 (2014) - [c12]Catarina Barata
, Mário A. T. Figueiredo, M. Emre Celebi, Jorge S. Marques
:
Color identification in dermoscopy images using Gaussian mixture models. ICASSP 2014: 3611-3615 - [c11]Catarina Barata
, Jorge S. Marques
, M. Emre Celebi:
Improving dermoscopy image analysis using color constancy. ICIP 2014: 3527-3531 - 2013
- [c10]Catarina Barata
, Jorge S. Marques
, Jorge Rozeira:
The Role of Keypoint Sampling on the Classification of Melanomas in Dermoscopy Images Using Bag-of-Features. IbPRIA 2013: 715-723 - [c9]Margarida Ruela, Catarina Barata
, Teresa Mendonça
, Jorge S. Marques
:
What Is the Role of Color in Dermoscopy Analysis? IbPRIA 2013: 819-826 - [c8]Catarina Barata
, Jorge S. Marques
, Teresa Mendonça
:
Bag-of-Features Classification Model for the Diagnose of Melanoma in Dermoscopy Images Using Color and Texture Descriptors. ICIAR 2013: 547-555 - [c7]Margarida Ruela, Catarina Barata, Teresa Mendonça, Jorge S. Marques:
On the role of shape in the detection of melanomas. ISPA 2013: 268-273 - [c6]Catarina Barata, Jorge S. Marques, M. Emre Celebi:
Towards an automatic bag-of-features model for the classification of dermoscopy images: The influence of segmentation. ISPA 2013: 274-279 - [c5]Margarida Ruela, Catarina Barata
, Jorge S. Marques
:
What Is the Role of Color Symmetry in the Detection of Melanomas? ISVC (1) 2013: 1-10 - [c4]Catarina Barata
, Jorge S. Marques
, Jorge Rozeira:
Evaluation of Color Based Keypoints and Features for the Classification of Melanomas Using the Bag-of-Features Model. ISVC (1) 2013: 40-49 - 2012
- [j1]Catarina Barata
, Jorge S. Marques
, Jorge Rozeira:
A System for the Detection of Pigment Network in Dermoscopy Images Using Directional Filters. IEEE Trans. Biomed. Eng. 59(10): 2744-2754 (2012) - [c3]Jorge S. Marques
, Catarina Barata
, Teresa Mendonça
:
On the role of texture and color in the classification of dermoscopy images. EMBC 2012: 4402-4405 - [c2]Catarina Barata
, Jorge S. Marques
, Jorge Rozeira:
A system for the automatic detection of pigment network. ISBI 2012: 1651-1654 - 2011
- [c1]Catarina Barata
, Jorge S. Marques
, Jorge Rozeira:
Detecting the pigment network in dermoscopy images: A directional approach. EMBC 2011: 5120-5123
Coauthor Index
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