Laura Daza

Helmholtz Zentrum München — Germany

Computer Science · Physical Sciences

10h-index1.5kcitations28works0.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Neural Network Applications(10), Brain Tumor Detection and Classification(7), Computational Drug Discovery Methods(4), Domain Adaptation and Few-Shot Learning(4), Artificial Intelligence in Healthcare and Education(4)

Publications28 total

No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
ArXiv.org·2025Open Access
No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
arXiv (Cornell University)·2025Open Access
DiENTeS: Dynamic ENTity Segmentation with Local-Global Transformers
Lecture notes in computer science·2025
Building momentum through networks: Bioimaging across the Americas
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)·2024Open Access
Building momentum through networks: Bioimaging across the Americas
Journal of Microscopy·2024· 4 citedOpen Access
Adversarially Robust Panoptic Segmentation (ARPaS) Benchmark
Lecture notes in computer science·2023· 2 cited
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results
The Journal of Machine Learning for Biomedical Imaging·2022· 46 citedOpen Access
Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022
arXiv (Cornell University)·2022· 1 citedOpen Access
The Medical Segmentation Decathlon
Nature Communications·2022· 1.1k citedOpen Access
Predicting target–ligand interactions with graph convolutional networks for interpretable pharmaceutical discovery
Scientific Reports·2022· 15 citedOpen Access
Modeling Protein-Ligand Interactions with Graph Convolutional Networks for Interpretable Pharmaceutical Discovery
Research Square (Research Square)·2022· 1 citedOpen Access
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
arXiv (Cornell University)·2021· 7 citedOpen Access
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge
IEEE Transactions on Medical Imaging·2021· 36 citedOpen Access
The Medical Segmentation Decathlon
arXiv (Cornell University)·2021· 10 citedOpen Access
PharmaNet: Pharmaceutical discovery with deep recurrent neural networks
PLoS ONE·2021· 19 citedOpen Access
Cerberus: A Multi-headed Network for Brain Tumor Segmentation
Lecture notes in computer science·2021· 9 cited
Towards Robust General Medical Image Segmentation
Lecture notes in computer science·2021· 4 citedOpen Access
SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis
Lecture notes in computer science·2021· 1 cited
PharmaNet: Pharmaceutical discovery with deep recurrent neural networks
2020· 3 citedOpen Access
An empirical study on global bone age assessment
2020· 5 cited
page 1 of 2Next →

Frequent Co-authors

Pablo Arbeláez(22), Cristina González(7), María Escobar(5), Spyridon Bakas(4), Bjoern Menze(4), Laura Silvana Castillo(4), Catalina Gómez(4), Paola Ruiz Puentes(4), Natalia Valderrama(4), Carolina Muñoz-Camargo(4), Juan C. Cruz(4), Keyvan Farahani(3), Henkjan Huisman(3), Sandy Napel(3), Richard McKinley(3), Luis Carlos Rivera Monroy(3), Ken Chang(3), Jayashree Kalpathy–Cramer(3), Roland Wiest(3), Felipe Torres Figueroa(3)