Germán Corredor

28 papers B 1Journal 7Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computational Pathology in the Era of Emerging Foundation and Agentic AI - International Expert Perspectives on Clinical Integration and Translational Readiness. CoRR Qian Da, Yijiang Chen, Min Ju, Zheyi Ji, Albert Zhou, Wenwen Wang, Matthew Abikenari, Philip Chikontwe, Guillaume Larghero, Bowen Chen, Peter Neidlinger, Dingrong Zhong, Shuhao Wang, Wei Xu, Drew F. K. Williamson, Germán Corredor, Sen Yang, Le Lu, Xiao Han, Kun-Hsing Yu, Jun-Zhou Huang, Laura Barisoni, Geert Litjens, Anant Madabhushi, Lifeng Zhu, Chaofu Wang, Junhan Zhao, Weiguo Hu
2024	J	`jnl`	Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer. Expert Syst. Appl. Jennifer Salguero, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero
2024	J	`jnl`	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. Yuli Chen, Guoping Chen, Guoying Shi, Yao Zhou, Jiayang Bai, Germán Corredor, Cheng Lu, Xiujuan Lei
2023	J	`jnl`	Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. CoRR Chuang Zhu, Shengjie Liu, Feng Xu, Zekuan Yu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin
2023	J	`jnl`	Measuring dense false positive regions from segmentation result for whole slide tissue histology image. J. Vis. Commun. Image Represent. Zhao Wang, Qianyu Feng, Germán Corredor, Can Koyuncu, Cheng Lu
2023	—	`conf`	Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker. Digital and Computational Pathology Germán Corredor, Can Koyuncu, Andrew Janowczyk, Paula Toro, Sepideh Azarianpour, James S. Lewis Jr., Anant Madabhushi
2023	—	`conf`	Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer. Digital and Computational Pathology Yufei Zhou, Can Koyuncu, Cristian Barrera, Germán Corredor, Xiangxue Wang, Cheng Lu, Anant Madabhushi
2023	—	`conf`	Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer. MICCAI (6) Sara ArabYarmohammadi, Germán Corredor, Yufei Zhou, Miguel López de Rodas, Kurt A. Schalper, Anant Madabhushi
2022	—	`conf`	Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer. Digital and Computational Pathology Aya Aqeel, Germán Corredor, Vidya Sankar Viswanathan, Chuheng Chen, Mogjan Mokhtari, Pingfu Fu, Joseph E. Willis, Anant Madabhushi
2022	—	`conf`	Selecting training samples for ovarian cancer classification via a semi-supervised clustering approach. Digital and Computational Pathology Jennifer Salguero López, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero
2021	J	`jnl`	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. Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James S. Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi
2020	—	`conf`	Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. Digital Pathology Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cheng Lu, Priya Velu, Khoi Le, Patrick Leo, Niha G. Beig, Vamsidhar Velcheti, David L. Rimm, Kurt A. Schalper, Anant Madabhushi
2020	—	`conf`	Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy. Digital Pathology Sepideh Azarianpour, Germán Corredor, Kaustav Bera, Patrick Leo, Nathaniel Braman, Pingfu Fu, Haider Mahdi, Anant Madabhushi
2019	—	`conf`	Learning Basal Cell Carcinoma Patterns by Fusing Pathologists' WSI Navigations and Graph-Based Centrality Features. ISBI Germán Corredor, Juan D. García-Arteaga, Viviana Arias, Eduardo Romero
2019	—	`conf`	Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. Digital Pathology Cristian Barrera, Germán Corredor, Xiangxue Wang, Kurt A. Schalper, David L. Rimm, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero Castro
2019	—	`conf`	Tele-Pathology: A Use Case In Colombia. ISBI Charlems Álvarez Jimenez, Germán Corredor, Diana Giraldo, Eduardo Romero
2018	—	`conf`	A Web-Based Telepathology Framework for Collaborative Work of Pathologists to Support Teaching and Research in Latin America. SaMBa@MICCAI Darwin Díaz, Germán Corredor, Eduardo Romero, Angel Cruz-Roa
2018	—	`conf`	A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images. Digital Pathology Germán Corredor, Xiangxue Wang, Cheng Lu, Vamsidhar Velcheti, Eduardo Romero, Anant Madabhushi
2018	—	`conf`	An Automatic Segmentation of Gland Nuclei in Gastric Cancer Based on Local and Contextual Information. SaMBa@MICCAI Cristian Barrera, Germán Corredor, Sunny Alfonso, Andrés Mosquera, Eduardo Romero
2018	—	`conf`	Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. MICCAI (2) Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi
2017	—	`conf`	A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images. SIPAIM Juan D. García-Arteaga, Germán Corredor, Xiangxue Wang, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero
2017	—	`conf`	A sparse representation of the pathologist's interaction with whole slide images to improve the assigned relevance of regions of interest. SIPAIM Daniel Santiago, Germán Corredor, Eduardo Romero
2017	—	`conf`	Multi-channel non-invasive fetal electrocardiography detection using wavelet decomposition. SIPAIM Javier Almeida, Josué Ruano, Germán Corredor, David Romo-Bucheli, José Ricardo Navarro-Vargas, Eduardo Romero
2017	—	`conf`	Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes. SIPAIM Paula Toro, Germán Corredor, Xiangxue Wang, Viviana Arias, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero
2015	J	`jnl`	An adaptable navigation strategy for Virtual Microscopy from mobile platforms. J. Biomed. Informatics Germán Corredor, Eduardo Romero, Marcela Iregui
2015	B	`conf`	Learning histopathological regions of interest by fusing bottom-up and top-down information. ICIP Germán Corredor, Eduardo Romero
2013	—	`conf`	Flexible Architecture for Streaming and Visualization of Large Virtual Microscopy Images. MCV Germán Corredor, Marcela Iregui, Viviana Arias, Eduardo Romero
2012	—	`conf`	Architectural Model for Visualization of High Definition Images on Mobile Devices. SIGMAP Germán Corredor, Daniel Martínez, Eduardo Romero, Marcela Iregui