Amirata Ghorbani

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 37

Top Topics

Prostate Cancer

Top Venues

npj Digit. Medicine

Publications

Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023)
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS (2023)
Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022)
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
DataPerf: Benchmarks for Data-Centric AI Development. CoRR (2022)
Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Y. Zou
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics. Inf. 13 (1) (2022)
Amirata Ghorbani, James Zou, Andre Esteva
Data Shapley Valuation for Efficient Batch Active Learning. IEEECONF (2022)
Amirata Ghorbani, Andre Esteva, James Zou
Grading of Prostate Whole-slide Images Using Weak Self-supervised Learning. IEEECONF (2022)
Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Zou
Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics. CoRR (2021)
Amirata Ghorbani, James Zou, Andre Esteva
Data Shapley Valuation for Efficient Batch Active Learning. CoRR (2021)
Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. AISTATS (2021)
Gal Yona, Amirata Ghorbani, James Zou
Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. AIES (2021)
Ramin Ansari, Amirata Ghorbani
Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions. CoRR (2021)
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou
How Does Mixup Help With Robustness and Generalization? ICLR (2021)
Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Y. Zou, Daniel L. Rubin
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset. CoRR (2020)
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Y. Zou
How Does Mixup Help With Robustness and Generalization? CoRR (2020)
Amirata Ghorbani, Michael P. Kim, James Zou
A Distributional Framework For Data Valuation. ICML (2020)
Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Y. Zou
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. CoRR (2020)
Amirata Ghorbani, James Y. Zou
Neuron Shapley: Discovering the Responsible Neurons. CoRR (2020)
David Ouyang, Bryan He, Amirata Ghorbani, Neal Yuan, Joseph Ebinger, Curtis P. Langlotz, Paul A. Heidenreich, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
Video-based AI for beat-to-beat assessment of cardiac function. Nat. 580 (7802) (2020)
Amirata Ghorbani, Michael P. Kim, James Y. Zou
A Distributional Framework for Data Valuation. CoRR (2020)
Amirata Ghorbani, James Y. Zou
Neuron Shapley: Discovering the Responsible Neurons. NeurIPS (2020)
Amirata Ghorbani, David Ouyang, Abubakar Abid, Bryan He, Jonathan H. Chen, Robert A. Harrington, David H. Liang, Euan A. Ashley, James Y. Zou
Deep learning interpretation of echocardiograms. npj Digit. Medicine 3 (2020)
Amirata Ghorbani, Abubakar Abid, James Y. Zou
Interpretation of Neural Networks Is Fragile. AAAI (2019)
Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology. ML4H@NeurIPS (2019)
Amirata Ghorbani, James Wexler, James Y. Zou, Been Kim
Towards Automatic Concept-based Explanations. NeurIPS (2019)
Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees. AISTATS (2019)
Amirata Ghorbani, James Y. Zou
Data Shapley: Equitable Valuation of Data for Machine Learning. ICML (2019)
Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology. CoRR (2019)
Amirata Ghorbani, James Wexler, Been Kim
Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks. CoRR (2019)
Amirata Ghorbani, James Y. Zou
Data Shapley: Equitable Valuation of Data for Machine Learning. CoRR (2019)
Michael P. Kim, Amirata Ghorbani, James Y. Zou
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. AIES (2019)
Gal Yona, Amirata Ghorbani, James Y. Zou
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data. CoRR (2019)
Michael P. Kim, Amirata Ghorbani, James Y. Zou
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. CoRR (2018)
Amirata Ghorbani, James Y. Zou
Embedding for Informative Missingness: Deep Learning With Incomplete Data. Allerton (2018)
Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou
Knockoffs for the mass: new feature importance statistics with false discovery guarantees. CoRR (2018)
Amirata Ghorbani, Abubakar Abid, James Y. Zou
Interpretation of Neural Networks is Fragile. CoRR (2017)
Masoumeh Azghani, Amirata Ghorbani, Farokh Marvasti
Blind Iterative Nonlinear Distortion Compensation Based on Thresholding. IEEE Trans. Circuits Syst. II Express Briefs (7) (2017)