Francisco Perdigón Romero

Orcid: 0000-0002-6101-3871

According to our database1, Francisco Perdigón Romero authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
DeepFilter: An ECG baseline wander removal filter using deep learning techniques.
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

End-To-End Discriminative Deep Network For Liver Lesion Classification.
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


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