Natália Alves

According to our database, Natália Alves authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The ULS23 Challenge Public Training Dataset.

Max De Grauw, Natália Alves, Megan Schuurmans, Henkjan Huisman, Bram van Ginneken, Alessa Hering

Dataset, October, 2023

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.

Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, Ziyan Huang, Fan Zhang, Wentao Liu, YuanKe Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Weixin Xu, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram De Wilde, Gregor Köhler, Yajun Wu, Manuel Wiesenfarth, Qiongjie Zhu, Guoqiang Dong, Jian He, the FLARE Challenge Consortium, Bo Wang

CoRR, 2023

Reproducibility of Training Deep Learning Models for Medical Image Analysis.

Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Uncertainty-Guided Self-learning Framework for Semi-supervised Multi-organ Segmentation.

Natália Alves, Bram De Wilde

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

2021

Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography.

Natália Alves, Megan Schuurmans, Geke Litjens, Joeran S. Bosma, John Hermans, Henkjan Huisman

CoRR, 2021

Predicting the Need for Adaptive Radiotherapy in Head and Neck Patients from CT-Based Radiomics and Pre-treatment Data.

Natália Alves, Joana Dias, Tiago Ventura, Josefina Mateus, Miguel Capela, Leila Khouri, Maria do Carmo Lopes

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021