Juan Miguel Valverde

According to our database, Juan Miguel Valverde authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation.

Juan Miguel Valverde, Maja Østergaard, Adrian Rodriguez-Palomo, Peter Alling Strange Vibe, Nina Kølln Wittig, Henrik Birkedal, Anders Bjorholm Dahl

CoRR, March, 2025

TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy.

Juan Miguel Valverde, Motoya Koga, Nijihiko Otsuka, Anders Bjorholm Dahl

CoRR, March, 2025

2024

Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning.

Juan Miguel Valverde, Artem Shatillo, Jussi Tohka

Neurocomputing, 2024

2023

Region-wise loss for biomedical image segmentation.

Juan Miguel Valverde, Jussi Tohka

Pattern Recognit., April, 2023

Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks.

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka

Neuroinformatics, January, 2023

2021

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.

Riccardo de Feo, Artem Shatillo, Alejandra Sierra, Juan Miguel Valverde, Olli Gröhn, Federico Giove, Jussi Tohka

NeuroImage, 2021

Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review.

Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka

J. Imaging, 2021

Automatic hemisphere segmentation in rodent MRI with lesions.

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka

CoRR, 2021

2020

RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation.

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka

CoRR, 2020

2019

Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks.

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry.

Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019