Germán Corredor
Orcid: 0000-0003-3002-0937
According to our database1,
Germán Corredor
authored at least 27 papers
between 2012 and 2024.
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Bibliography
2024
Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer.
Expert Syst. Appl., 2024
SeaConvNeXt: A Lightweight Two-Branch Network Architecture for Efficient Prediction of Specific IHC Proteins and Antigens on Hematoxylin and Eosin (H&E) Images.
Big Data Min. Anal., 2024
2023
Measuring dense false positive regions from segmentation result for whole slide tissue histology image.
J. Vis. Commun. Image Represent., October, 2023
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review.
CoRR, 2023
Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Selecting training samples for ovarian cancer classification via a semi-supervised clustering approach.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
2021
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers.
Medical Image Anal., 2021
2020
Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
2019
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Learning Basal Cell Carcinoma Patterns by Fusing Pathologists' WSI Navigations and Graph-Based Centrality Features.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A Web-Based Telepathology Framework for Collaborative Work of Pathologists to Support Teaching and Research in Latin America.
Proceedings of the Processing and Analysis of Biomedical Information, 2018
An Automatic Segmentation of Gland Nuclei in Gastric Cancer Based on Local and Contextual Information.
Proceedings of the Processing and Analysis of Biomedical Information, 2018
2017
Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
A sparse representation of the pathologist's interaction with whole slide images to improve the assigned relevance of regions of interest.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
Multi-channel non-invasive fetal electrocardiography detection using wavelet decomposition.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
2015
J. Biomed. Informatics, 2015
Learning histopathological regions of interest by fusing bottom-up and top-down information.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2013
Flexible Architecture for Streaming and Visualization of Large Virtual Microscopy Images.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
2012
Architectural Model for Visualization of High Definition Images on Mobile Devices.
Proceedings of the SIGMAP and WINSYS 2012, 2012