AI Research as a Continuous Clinical Service
Yixi Xu, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks
Mayo Clinic Proceedings: Digital Health | December 2025
出版物
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Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study
Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha
PloS One | August 2025
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Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
July 2025
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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
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Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan M. Lavista Ferres, David Baker, Minkyung Baek
Nature Communications | February 2025
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Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
2023 IEEE Nuclear Science Symposium | December 2023
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Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
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Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
Scientific Reports | April 2023
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Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
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A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
Medical Imaging 2023 | April 2023
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Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors
Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson
BMC Public Health | December 2022
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MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
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Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19
Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju
Scientific Reports | October 2022
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Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
ScienceDirect | June 2022
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Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data
Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes
Science Direct | January 2022
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Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
Journal of Nuclear Medicine | May 2021
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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
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privGAN: Protecting GANs from membership inference attacks at low cost
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
May 2020
Under major revision at PETS
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-
-
AI Research as a Continuous Clinical Service
Yixi Xu, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks
Mayo Clinic Proceedings: Digital Health | December 2025
-
Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study
Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha
PloS One | August 2025
-
Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
July 2025
-
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
-
Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan M. Lavista Ferres, David Baker, Minkyung Baek
Nature Communications | February 2025
-
Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
2023 IEEE Nuclear Science Symposium | December 2023
-
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
-
Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
Scientific Reports | April 2023
-
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
-
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
Medical Imaging 2023 | April 2023
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MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
-
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
ScienceDirect | June 2022
-
Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
Journal of Nuclear Medicine | May 2021
-
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
-
privGAN: Protecting GANs from membership inference attacks at low cost
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
May 2020
Under major revision at PETS
-
-
-
Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study
Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha
PloS One | August 2025
-
Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
July 2025
-
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
-
Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan M. Lavista Ferres, David Baker, Minkyung Baek
Nature Communications | February 2025
-
Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
2023 IEEE Nuclear Science Symposium | December 2023
-
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
-
Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
Scientific Reports | April 2023
-
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
-
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
Medical Imaging 2023 | April 2023
-
Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors
Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson
BMC Public Health | December 2022
-
Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19
Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju
Scientific Reports | October 2022
-
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
ScienceDirect | June 2022
-
Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data
Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes
Science Direct | January 2022
-
Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
Journal of Nuclear Medicine | May 2021
-
-
-
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
-
privGAN: Protecting GANs from membership inference attacks at low cost
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
May 2020
Under major revision at PETS
-
-
-
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
-
privGAN: Protecting GANs from membership inference attacks at low cost
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
May 2020
Under major revision at PETS
-
-
-
AI Research as a Continuous Clinical Service
Yixi Xu, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks
Mayo Clinic Proceedings: Digital Health | December 2025
-
Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study
Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, Guilherme Moura Cunha
PloS One | August 2025
-
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
-
Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm
Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan M. Lavista Ferres, David Baker, Minkyung Baek
Nature Communications | February 2025
-
Evaluating the Generalizability of Deep Learning Image Classification Algorithms to Detect Middle Ear Disease Using Otoscopy
Al-Rahim Habib, Yixi Xu, Kris Bock, Shrestha Mohanty, Tina Sederholm, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh
Scientific Reports | April 2023
-
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yixi Xu, Ivan Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim , Juan M. Lavista Ferres
Computers in Biology and Medicine | April 2023
-
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O., Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
Medical Imaging 2023 | April 2023
-
Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors
Sumit Mukherjee, Meghana Kshirsagar, Nicholas Becker, Yixi Xu, Bill Weeks, Shwetak Patel, Juan M. Lavista Ferres, Michael L. Jackson
BMC Public Health | December 2022
-
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
Transactions on Machine Learning Research (TMLR) | October 2022
-
Machine Learning-based Derivation and External Validation of a Tool to Predict Death and Development of Organ Failure in Hospitalized Patients with COVID-19
Yixi Xu, Anusua Trivedi, Nicholas Becker, Marian Blazes, Juan M. Lavista Ferres, Dr. Aaron Lee, W Liles, Dr. Pavan Bhatraju
Scientific Reports | October 2022
-
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Juan M. Lavista Ferres, Yixi Xu, Anthony Ortiz, Ghassan Hamarneh, Arman Rahmim
ScienceDirect | June 2022
-
Reimagining Leprosy Elimination with AI Analysis of a Combination of Skin Lesion Images with Demographic and Clinical Data
Raquel R Barbieri, Yixi Xu, Lucy Setian, Paulo Thiago Souza-Santos, Anusua Trivedi, Jim Cristofono, Ricardo Bhering, Kevin White, Anna M Sales, Geralyn Miller, José Augusto C Nery, Michael Sharman, Richard Bumann, Shun Zhang, Mohamad Goldust, Euzenir N Sarno, Fareed Mirza, Arielle Cavaliero, Sander Timmer, Elena Bonfiglioli, Cairns Smith, David Scollard, Alexander A Navarini, Ann Aerts, Juan M. Lavista Ferres, Milton O Moraes
Science Direct | January 2022
-
Unsupervised Background Removal by Dual-Modality PET/CT Guidance: Application to PSMA Imaging of Metastases
Ivan Klyuzhin, Yixi Xu, Sara Harsini, Anthony Ortiz, Carlos Uribe, Juan M. Lavista Ferres, Arman Rahmim
Journal of Nuclear Medicine | May 2021
-
-
-
Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, Bill Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
July 2025
-
privGAN: Protecting GANs from membership inference attacks at low cost
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
May 2020
Under major revision at PETS
-
-
-
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images
Shadab Ahamed, Yixi Xu, C. Gowdy, O. JooH., I. Bloise, Don Wilson, Patrick Martineau, François Bénard, F. Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, Bill Weeks, Carlos F. Uribe, Arman Rahmim
November 2023
-
-
-
Towards an automated Segment Anything Model (SAM) for lesion segmentation in oncological PET/CT images
S. Ahamed, Yixi Xu, Rahul Dodhia, Bill Weeks, Juan M. Lavista Ferres, A. Rahmim
2023 IEEE Nuclear Science Symposium | December 2023
-
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
-