Francisco Perdigón Romero
Orcid: 0000-0002-6101-3871
According to our database1,
Francisco Perdigón Romero
authored at least 13 papers
between 2017 and 2024.
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Bibliography
2024
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection.
CoRR, 2024
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction.
CoRR, 2023
2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Biomed. Signal Process. Control., 2021
2020
Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks.
Medical Image Anal., 2020
Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.
J. Digit. Imaging, 2020
A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction.
CoRR, 2020
Spine intervertebral disc labeling using a fully convolutional redundant counting model.
CoRR, 2020
2019
Multi-Level Batch Normalization in Deep Networks for Invasive Ductal Carcinoma Cell Discrimination in Histopathology Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Myocardial segmentation in cardiac magnetic resonance images using fully convolutional neural networks.
Biomed. Signal Process. Control., 2018
2017
Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017