Publications

Title Author Year Publication type
Veridical Data Science for Medical Foundation Models Ahmed Alaa; Bin Yu 2024 Preprint
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes Li Zhang; Basu Jindal; Ahmed Alaa; Robert Weinreb; David Wilson; Eran Segal; James Zou; Pengtao Xie 2024 Preprint
Deep learning-derived splenic radiomics, genomics, and coronary artery disease Meghana Kamineni; Vineet K Raghu; Buu Truong; Ahmed Alaa; Art Schuermans; Sam Freesun Friedman; Christopher C Reeder; Romit Bhattacharya; Peter Libby; Patrick T. Ellinor; Mahnaz Maddah; Anthony Philippakis; Whitney E Hornsby; Zhi Yu; Pradeep Natarajan 2024 Preprint
Large Language Models as Co-Pilots for Causal Inference in Medical Studies Ahmed Alaa; Rachael V. Phillips; Emre Kıcıman; Laura B. Balzer; Mark van der Laan; Maya Petersen 2024 Preprint
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point Christina X Ji; Ahmed Alaa; David Sontag 2024 Preprint
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care Ali Shirali; Alexander Schubert; Ahmed Alaa 2024 IEEE Journal of Biomedical and Health Informatics
Prediction-powered Generalization of Causal Inferences Ilker Demirel; Ahmed Alaa; Anthony Philippakis; David Sontag 2024 ICML
Mean-field Chaos Diffusion Models Sungwoo Park; Dongjun Kim; Ahmed Alaa 2024 ICML
Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding Shenghuan Sun; Gregory M. Goldgof; Alexander Schubert; Zhiqing Sun; Thomas Hartvigsen; Atul J. Butte; Ahmed Alaa 2024 Preprint
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning Keying Kuang; Frances Dean; Jack Jedlicki; David Ouyang; Anthony Philippakis; David Sontag; Ahmed Alaa 2024 Preprint
DMLR: Data-centric Machine Learning Research--Past, Present and Future Luis Oala; Manil Maskey; Lilith Bat-Leah; Alicia Parrish; Nezihe Merve Gürel; Tzu-Sheng Kuo; Yang Liu; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William A Gaviria Rojas; Ryan Hileman; Rainier Aliment; Michael W Mahoney; Meg Risdal; Matthew Lease; Wojciech Samek; Debojyoti Dutta; Curtis G Northcutt; Cody Coleman; Braden Hancock; Bernard Koch; Girmaw Abebe Tadesse; Bojan Karlaš; Ahmed Alaa; Adji Bousso Dieng; Natasha Noy; Vijay Janapa Reddi; James Zou; Praveen Paritosh; Mihaela van der Schaar; Kurt Bollacker; Lora Aroyo; Ce Zhang; Joaquin Vanschoren; Isabelle Guyon; Peter Mattson 2024 Journal of Data-centric Machine Learning Research (DMLR)
Self-Consistent Conformal Prediction Lars van der Laan; Ahmed Alaa 2024 Preprint
A machine learning approach for predicting textbook outcome after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy Amir Ashraf Ganjouei; Fernanda Romero-Hernandez; Jaeyun Jane Wang; Ahmed Hamed; Ahmed Alaa; David Bartlett; Adnan Alseidi; Mohammad Haroon Choudry; Mohamed Adam 2024 World Journal of Surgery
Evaluating Large Language Models as Agents in the Clinic Nikita Mehandru; Brenda Y. Miao; Eduardo Rodriguez Almaraz; Madhumita Sushil; Atul J. Butte; Ahmed Alaa 2024 NPJ digital medicine
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists Yulu Gan; Sungwoo Park; Alexander Schubert; Anthony Philippakis; Ahmed Alaa 2024 ICLR
Generation of guideline-based clinical decision trees in oncology using large language models Brenda Y. Miao; Eduardo Rodriguez Almaraz; Amir Ashraf Ganjouei; Arvind Suresh; Travis Zack; Maxim Bravo; Boris Oskotsky; Ahmed Alaa; Atul J. Butte 2024 Preprint
EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation Jonathan W Kim; Ahmed Alaa; Danilo Bernardo 2024 Preprint
Generating new drug repurposing hypotheses using disease-specific hypergraphs Ayush Jain; Marie Charpignon; Irene Y. Chen; Anthony Philippakis; Ahmed Alaa 2024 Pacific Symposium on Biocomputing (PSB)
Diffinfinite: Large mask-image synthesis via parallel random patch diffusion in histopathology Marco Aversa; Gabriel Nobis; Miriam Hägele; Kai Standvoss; Mihaela Chirica; Roderick Murray-Smith; Ahmed Alaa; Lukas Ruff; Daniela Ivanova; Wojciech Samek; Frederick Klauschen; Bruno Sanguinetti; Luis Oala 2024 NeurIPS
Aligning synthetic medical images with clinical knowledge using human feedback Shenghuan Sun; Gregory M. Goldgof; Atul J. Butte; Ahmed Alaa 2024 NeurIPS
Conformal meta-learners for predictive inference of individual treatment effects Ahmed Alaa; Zaid Ahmad; Mark van der Laan 2024 NeurIPS
Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data Shiladitya Dutta; Hongbo Wei; Lars van der Laan; Ahmed Alaa 2023 NeurIPS R0-FoMo Workshop
Large-Scale Study of Temporal Shift in Health Insurance Claims Christina X Ji; Ahmed Alaa; David Sontag 2023 CHIL
Conformalized Unconditional Quantile Regression Ahmed Alaa; Zeshan Hussain; David Sontag 2023 AISTATS
PREDICT underestimates survival of patients with HER2-positive early-stage breast cancer Ahmed Alaa; Adrian L Harris; Mihaela van der Schaar 2023 npj Breast Cancer
External validity of machine learning-based prognostic scores for cystic fibrosis: a retrospective study using the UK and Canadian registries Yuchao Qin; Ahmed Alaa; Andres Floto; Mihaela van der Schaar 2023 PLOS Digital Health
Mining for informative signals in biological sequences Ahmed Alaa 2022 Nature Machine Intelligence
ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography Ahmed Alaa; Anthony Philippakis; David Sontag 2022 NeurIPS
How faithful is your synthetic data? sample-level metrics for evaluating and auditing generative models Ahmed Alaa; Boris van Breugel; Evgeny Saveliev; Mihaela van der Schaar 2022 ICML
Machine learning to guide the use of adjuvant therapies for breast cancer Ahmed Alaa; Deepti Gurdasani; Adrian L Harris; Jem Rashbass; Mihaela van der Schaar 2021 Nature Machine Intelligence
Learning queueing policies for organ transplantation allocation using interpretable counterfactual survival analysis Jeroen Berrevoets; Ahmed Alaa; Zhaozhi Qian; James Jordon; Alexander Gimson; Mihaela Van Der Schaar 2021 ICML
Conformal Time-series Forecasting Kamilė Stankevičiūtė; Ahmed Alaa; Mihaela van der Schaar 2021 NeurIPS
Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the SEER database Changhee Lee; Alexander Light; Ahmed Alaa; David Thurtle; Mihaela van der Schaar; Vincent J Gnanapragasam 2021 The Lancet Digital Health
Learning Matching Representations for Individualized Organ Transplantation Allocation Can Xu; Ahmed Alaa; Ioana Bica; Brent D Ershoff; Maxime Cannesson; Mihaela van der Schaar 2021 AISTATS
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 Mihaela Van der Schaar; Ahmed Alaa; Andres Floto; Alexander Gimson; Stefan Scholtes; Angela Wood; Eoin McKinney; Daniel Jarrett; Pietro Lio; Ari Ercole 2021 Machine Learning
Generative Time-series Modeling with Fourier Flows Ahmed Alaa; Alex Chan; Mihaela van der Schaar 2021 ICLR
Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors Pedro Baqui; Valerio Marra; Ahmed Alaa; Ioana Bica; Ari Ercole; Mihaela van der Schaar 2021 Nature Scientific Reports
Retrospective cohort study of admission timing and mortality following COVID-19 infection in England Ahmed Alaa; Zhaozhi Qian; Jem Rashbass; Jonathan Benger; Mihaela van der Schaar 2020 BMJ Open
Estimating Structural Target Functions using Machine Learning and Influence Functions Alicia Curth; Ahmed Alaa; Mihaela van der Schaar 2020 Preprint
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19 Zhaozhi Qian; Ahmed Alaa; Mihaela van der Schaar 2020 Machine Learning
The value of patient and tumor factors in predicting preoperative breast MRI outcomes Habib Rahbar; Daniel S Hippe; Ahmed Alaa; Safia H Cheeney; Mihaela van der Schaar; Savannah C Partridge; Christoph I Lee 2020 Radiology: Imaging Cancer
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions Ahmed Alaa; Mihaela van der Schaar 2020 ICML
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift Alex J Chan; Ahmed Alaa; Zhaozhi Qian; Mihaela van der Schaar 2020 ICML
Between-centre differences for COVID-19 ICU mortality from early data in England Zhaozhi Qian; Ahmed Alaa; Mihaela van der Schaar; Ari Ercole 2020 Intensive Care Medicine (ICM)
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa; Mihaela van der Schaar 2020 ICML
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders Ioana Bica; Ahmed Alaa; Mihaela van der Schaar 2020 ICML
From real‐world patient data to individualized treatment effects using machine learning: Current and future methods to address underlying challenges Ioana Bica; Ahmed Alaa; Craig Lambert; Mihaela van der Schaar 2020 Clinical Pharmacology and Therapeutics
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes Zhaozhi Qian; Ahmed Alaa; Mihaela van der Schaar 2020 NeurIPS
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations Ioana Bica; Ahmed Alaa; James Jordon; Mihaela van der Schaar 2020 ICLR
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes Zhaozhi Qian; Ahmed Alaa; Alexis Bellot; Jem Rashbass; Mihaela van der Schaar 2020 AISTATS