Felipe Oviedo

Principal Research Scientist

出版物

表示方法:

- Energy use of AI inference, efficiency pathways, and test-time scaling
  
  Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
  
  Joule | April 2026
  
  DOI
- SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
  
  Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
  
  February 2026
  
  Publication DOI PDF プロジェクト
- Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
  
  Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
  
  Radiology | December 2025
  
  Publication DOI PDF プロジェクト
- Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
  
  Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
  
  September 2025
  
  Publication
- AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
  
  Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
  
  August 2025
  
  Publication
- Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
  
  Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
  
  Radiology | July 2025
  
  Publication PDF プロジェクト
- Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
  
  Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
  
  Cancers | May 2025
  
  Publication PDF プロジェクト
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
  
  Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
  
  Pancreatology | September 2024
  
  Publication PDF プロジェクト
- HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
  
  Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
  
  European Society of Medicine | November 2023
  
  Publication PDF DOI プロジェクト
- DeepDeg: Forecasting and explaining degradation in novel photovoltaics
  
  Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
  
  March 2023
  
  Publication プロジェクト
- Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
  
  Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
  
  Nature Communications | February 2023
  
  Publication DOI プロジェクト
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, 巻9(1): pp. 1-13
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- Interpretable and Explainable Machine Learning for Materials Science and Chemistry
  
  Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
  
  ACS Publications | June 2022
  
  Publication PDF
- BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
  
  Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
  
  April 2022
  
  Publication PDF プロジェクト
- Becoming Good at AI for Good
  
  Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
  
  Publication
- How machine learning can help select capping layers to suppress perovskite degradation
  
  Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
  
  Nature Communications | August 2020, 巻11(1): pp. 4172-4172
  
  Publication DOI
- Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
  
  Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi
  
  January 2020
  
  DOI Publication Publication
- Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
  
  Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi
  
  Joule | June 2019, 巻3(6): pp. 1437-1451
  
  DOI Publication
- Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
  
  Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi
  
  May 2019
  
  DOI Publication Publication Publication

- Energy use of AI inference, efficiency pathways, and test-time scaling
  
  Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
  
  Joule | April 2026
  
  DOI
- SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
  
  Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
  
  February 2026
  
  Publication DOI PDF プロジェクト
- Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
  
  Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
  
  Radiology | December 2025
  
  Publication DOI PDF プロジェクト
- Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
  
  Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
  
  September 2025
  
  Publication
- AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
  
  Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
  
  August 2025
  
  Publication
- Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
  
  Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
  
  Radiology | July 2025
  
  Publication PDF プロジェクト
- Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
  
  Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
  
  Cancers | May 2025
  
  Publication PDF プロジェクト
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
  
  Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
  
  Pancreatology | September 2024
  
  Publication PDF プロジェクト
- HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
  
  Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
  
  European Society of Medicine | November 2023
  
  Publication PDF DOI プロジェクト
- DeepDeg: Forecasting and explaining degradation in novel photovoltaics
  
  Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
  
  March 2023
  
  Publication プロジェクト
- Interpretable and Explainable Machine Learning for Materials Science and Chemistry
  
  Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
  
  ACS Publications | June 2022
  
  Publication PDF
- BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
  
  Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
  
  April 2022
  
  Publication PDF プロジェクト
- Becoming Good at AI for Good
  
  Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
  
  Publication
- How machine learning can help select capping layers to suppress perovskite degradation
  
  Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
  
  Nature Communications | August 2020, 巻11(1): pp. 4172-4172
  
  Publication DOI
- Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
  
  Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi
  
  January 2020
  
  DOI Publication Publication
- Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
  
  Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi
  
  Joule | June 2019, 巻3(6): pp. 1437-1451
  
  DOI Publication
- Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
  
  Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi
  
  May 2019
  
  DOI Publication Publication Publication
- SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
  
  Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
  
  February 2026
  
  Publication DOI PDF プロジェクト
- Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
  
  Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
  
  Radiology | December 2025
  
  Publication DOI PDF プロジェクト
- Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
  
  Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
  
  Radiology | July 2025
  
  Publication PDF プロジェクト
- Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
  
  Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
  
  Cancers | May 2025
  
  Publication PDF プロジェクト
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
  
  Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
  
  Pancreatology | September 2024
  
  Publication PDF プロジェクト
- Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
  
  Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
  
  Nature Communications | February 2023
  
  Publication DOI プロジェクト
- Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
  
  Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
  
  September 2025
  
  Publication
- AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
  
  Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
  
  August 2025
  
  Publication
- DeepDeg: Forecasting and explaining degradation in novel photovoltaics
  
  Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
  
  March 2023
  
  Publication プロジェクト
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, 巻9(1): pp. 1-13
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- How machine learning can help select capping layers to suppress perovskite degradation
  
  Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
  
  Nature Communications | August 2020, 巻11(1): pp. 4172-4172
  
  Publication DOI
- Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
  
  Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi
  
  January 2020
  
  DOI Publication Publication
- Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
  
  Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi
  
  Joule | June 2019, 巻3(6): pp. 1437-1451
  
  DOI Publication
- BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
  
  Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
  
  April 2022
  
  Publication PDF プロジェクト

- Energy use of AI inference, efficiency pathways, and test-time scaling
  
  Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
  
  Joule | April 2026
  
  DOI
- Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization
  
  Felipe Oviedo, Felipe Lopez–Ramirez, Florent Tixier, Satomi Kawamoto, Alejandra Blanco, Rahul Dodhia, Ralph H Hruban, Bill Weeks, Juan M. Lavista Ferres, Elliot K Fishman, Linda C Chu
  
  Radiology | December 2025
  
  Publication DOI PDF プロジェクト
- Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection
  
  Felipe Oviedo, Anum S. Kazerouni, Philipp Liznerski, Yixi Xu, Michael Hirano, Robert A. Vandermeulen, Marius Kloft, Elyse Blum, Adam M. Alessio, Christopher I. Li, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Habib Rahbar, Savannah C. Partridge
  
  Radiology | July 2025
  
  Publication PDF プロジェクト
- Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections
  
  Amirhosein Toosi, Sara Harsini, Ghasemali Divband, François Bénard, Carlos F. Uribe, Felipe Oviedo, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres
  
  Cancers | May 2025
  
  Publication PDF プロジェクト
- Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst
  
  Juan M. Lavista Ferres, Felipe Oviedo, Caleb Robinson, Linda Chu, Satomi Kawamoto , Elham Afghani, Jin He, Alison P Klein, Mike Goggins, Christopher L Wolfgang, Ammar A Javed, Rahul Dodhia, Nick Papadopolous, Ken Kinzler, Ralph H Hruban, Bill Weeks, Elliot K Fishman, Anne Marie Lennon
  
  Pancreatology | September 2024
  
  Publication PDF プロジェクト
- HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning
  
  Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz
  
  European Society of Medicine | November 2023
  
  Publication PDF DOI プロジェクト
- Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network
  
  Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman
  
  Nature Communications | February 2023
  
  Publication DOI プロジェクト
- An Artificial Intelligence Dataset for Solar Energy Locations in India
  
  Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
  
  Scientific Data | August 2022, 巻9(1): pp. 1-13
  
  Publication PDF プロジェクトプロジェクトプロジェクト
- Interpretable and Explainable Machine Learning for Materials Science and Chemistry
  
  Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
  
  ACS Publications | June 2022
  
  Publication PDF
- How machine learning can help select capping layers to suppress perovskite degradation
  
  Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun
  
  Nature Communications | August 2020, 巻11(1): pp. 4172-4172
  
  Publication DOI
- Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
  
  Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi
  
  Joule | June 2019, 巻3(6): pp. 1437-1451
  
  DOI Publication
- SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information
  
  Felipe Oviedo, Felipe Lopez-Ramirez, Alejandra Blanco, James Facciola, Stephen Kwak, Jason M. Zhao, Emir A. Syailendra, Florent Tixier, Rahul Dodhia, Ralph H. Hruban, Bill Weeks, Juan M. Lavista Ferres, Linda C. Chu, Elliot K. Fishman
  
  February 2026
  
  Publication DOI PDF プロジェクト
- Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute
  
  Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
  
  September 2025
  
  Publication
- AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade
  
  Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
  
  August 2025
  
  Publication
- DeepDeg: Forecasting and explaining degradation in novel photovoltaics
  
  Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi
  
  March 2023
  
  Publication プロジェクト
- BankNote-Net: Open Dataset for Assistive Universal Currency Recognition
  
  Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
  
  April 2022
  
  Publication PDF プロジェクト
- Becoming Good at AI for Good
  
  Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021
  
  Publication
- Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics
  
  Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi
  
  January 2020
  
  DOI Publication Publication
- Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
  
  Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi
  
  May 2019
  
  DOI Publication Publication Publication

Felipe Oviedo

出版物

Energy use of AI inference, efficiency pathways, and test-time scaling

SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information

Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute

AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade

Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection

Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

An Artificial Intelligence Dataset for Solar Energy Locations in India

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Becoming Good at AI for Good

How machine learning can help select capping layers to suppress perovskite degradation

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Energy use of AI inference, efficiency pathways, and test-time scaling

SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information

Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute

AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade

Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection

Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Becoming Good at AI for Good

How machine learning can help select capping layers to suppress perovskite degradation

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information

Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization

Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection

Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute

AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

An Artificial Intelligence Dataset for Solar Energy Locations in India

How machine learning can help select capping layers to suppress perovskite degradation

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Energy use of AI inference, efficiency pathways, and test-time scaling

Benchmarking robustness of automated CT pancreas segmentation: achieving human-level reliability through human-in-the-loop optimization

Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection

Computer-Aided Detection (CADe) of Small Metastatic Prostate Cancer Lesions on 3D PSMA PET Volumes Using Multi-Angle Maximum Intensity Projections

Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

An Artificial Intelligence Dataset for Solar Energy Locations in India

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

How machine learning can help select capping layers to suppress perovskite degradation

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information

Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute

AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Becoming Good at AI for Good

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks