All 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