George Teodoro

 

George Teodoro, PhD     

George Teodoro, PhD, Professor

Department of Computer Science
Universidade Federal de Minas Gerais (UFMG), Brazil
Affiliated Collaborator, Department of Biomedical Informatics, Stony Brook University

INTERESTS

High-performance computing, GPU and heterogeneous architectures, large-scale biomedical image analysis, computational pathology pipelines, and content-based multimedia retrieval.
 
BIOGRAPHY
 
Dr. George Teodoro received his MS and PhD in Computer Science from the Universidade Federal de Minas Gerais (UFMG) in Belo Horizonte, Brazil. He has held faculty appointments in Brazil and collaborates closely with biomedical informatics researchers in the United States, including long-standing joint work with Stony Brook University and Emory University on scalable systems for microscopy image analysis.
 
RESEARCH
 
Dr. Teodoro’s research focuses on high-performance computing systems for data-intensive scientific applications, particularly large-scale biomedical image analysis. He has developed runtime systems and algorithms that coordinate CPUs, GPUs, and accelerators to execute whole slide image segmentation and feature extraction pipelines at scale, sensitivity analysis and parameter tuning frameworks for tissue image segmentation, and high-speed sequence alignment tools such as CUDAlign. His work also includes deep learning methods for quantitative pathology, including hepatic steatosis quantification and prediction of pathological complete response, and distributed similarity search systems for multimedia services.
 
SELECTED PUBLICATIONS

Full list: ORCID   

  1. Johannes Stegmaier, Fernando Amat, William C. Lemon, Katie McDole, Yinan Wan, George Teodoro, Ralf Mikut, Philipp Keller. Real-Time Three-Dimensional Cell Segmentation in Large-Scale Microscopy Data of Developing Embryos. Developmental Cell, 36(2):225-240, 2016.
  2. Jun Kong, Lee Cooper, Fusheng Wang, Jingjing Gao, George Teodoro, Lisa Scarpace, Tom Mikkelsen, Matthew Schniederjan, et al. Machine-Based Morphologic Analysis of Glioblastoma Using Whole-Slide Pathology Images Uncovers Clinically Relevant Molecular Correlates. PLoS ONE, 8(11):e81049, 2013.
  3. Mousumi Roy, Fusheng Wang, Hoang Vo, Dejun Teng, George Teodoro, Alton B. Farris, Eduardo Castillo‐Leon, Miriam B. Vos, et al. Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies. Laboratory Investigation, 100(10):1367-1383, 2020.
  4. Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Zhan Shi, Fusheng Wang, George Teodoro, Keerthi Gogineni, Preeti Subhedar, et al. A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images. Bioinformatics, 38(19):4605-4612, 2022.
  5. Edans F. O. Sandes, Guillermo Miranda, Xavier Martorell, Eduard Ayguadé, George Teodoro, Alba Cristina Magalhães Alves de Melo. CUDAlign 4.0: Incremental Speculative Traceback for Exact Chromosome-Wide Alignment in GPU Clusters. IEEE Transactions on Parallel and Distributed Systems, 27(10):2838-2850, 2016.
  6. George Teodoro, Rafael Sachetto, Olcay Sertel, Metin N. Gürcan, Wagner Meira, Ümit V. Çatalyürek, Renato Ferreira. Coordinating the use of GPU and CPU for improving performance of compute intensive applications. , 2009.
  7. George Teodoro, Tony Pan, Tahsin Kurç, Jun Kong, Lee Cooper, Norbert Podhorszki, Scott Klasky, Joel Saltz. High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms. , 2013:103-114, 2013.
  8. George Teodoro, Tony Pan, Tahsin Kurç, Jun Kong, Lee Cooper, Joel Saltz. Efficient irregular wavefront propagation algorithms on hybrid CPU–GPU machines. Parallel Computing, 39(4-5):189-211, 2013.
  9. George Teodoro, Eduardo Valle, Nathan Mariano, Ricardo da Silva Torres, Wagner Meira, Joel Saltz. Approximate similarity search for online multimedia services on distributed CPU–GPU platforms. The VLDB Journal, 23(3):427-448, 2013.
  10. George Teodoro, Tahsin Kurç, Luis F. R. Taveira, Alba Cristina Magalhães Alves de Melo, Yi Gao, Jun Kong, Joel Saltz. Algorithm sensitivity analysis and parameter tuning for tissue image segmentation pipelines. Bioinformatics, 33(7):1064-1072, 2016.
  11. Tahsin Kurç, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee Cooper, Michael Nalisnik, Lin Yang, et al. Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinformatics, 16(1):399, 2015.
  12. George Teodoro, Tahsin Kurç, Jun Kong, Lee Cooper, Joel Saltz. Comparative Performance Analysis of Intel (R) Xeon Phi (TM), GPU, and CPU: A Case Study from Microscopy Image Analysis. , 2014:1063-1072, 2014.