Juan Miguel Valverde

18 papers Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-tuning ImageNet-pretrained models in medical image classification: Reassessing the impact of different factors. Pattern Recognit. Lett. Juan Miguel Valverde, Vandad Imani, Jussi Tohka
2026	J	`jnl`	Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels. CoRR Juan Miguel Valverde, Dim P. Papadopoulos, Rasmus Larsen, Anders Bjorholm Dahl
2025	J	`jnl`	Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation. CoRR Juan Miguel Valverde, Maja Østergaard, Adrian Rodriguez-Palomo, Peter Alling Strange Vibe, Nina Kølln Wittig, Henrik Birkedal, Anders Bjorholm Dahl
2025	J	`jnl`	TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy. CoRR Juan Miguel Valverde, Motoya Koga, Nijihiko Otsuka, Anders Bjorholm Dahl
2024	J	`jnl`	Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning. Neurocomputing Juan Miguel Valverde, Artem Shatillo, Jussi Tohka
2023	J	`jnl`	Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks. Neuroinformatics Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka
2023	J	`jnl`	Region-wise loss for biomedical image segmentation. Pattern Recognit. Juan Miguel Valverde, Jussi Tohka
2022	J	`jnl`	Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning. CoRR Juan Miguel Valverde, Artem Shatillo, Jussi Tohka
2021	J	`jnl`	Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases. NeuroImage Riccardo de Feo, Artem Shatillo, Alejandra Sierra, Juan Miguel Valverde, Olli Gröhn, Federico Giove, Jussi Tohka
2021	J	`jnl`	Automatic hemisphere segmentation in rodent MRI with lesions. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka
2021	J	`jnl`	Region-wise Loss for Biomedical Image Segmentation. CoRR Juan Miguel Valverde, Jussi Tohka
2021	J	`jnl`	Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review. J. Imaging Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
2021	J	`jnl`	Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review. CoRR Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
2020	J	`jnl`	RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
2019	—	`conf`	Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. MLMI@MICCAI Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
2019	J	`jnl`	Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
2019	—	`conf`	Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry. ABCD-NP@MICCAI Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka
2019	J	`jnl`	Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry. CoRR Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka