Causal Machine Learning for Healthcare and Precision Medicine

23 May 2022

Sotirios A. Tsaftaris

OOD

CML

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Papers citing "Causal Machine Learning for Healthcare and Precision Medicine"

38 / 38 papers shown

Title
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 82 0 0 02 May 2025
DeCaFlow: A Deconfounding Causal Generative Model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 37 0 0 19 Mar 2025
Your Assumed DAG is Wrong and Here's How To Deal With It Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 45 0 0 24 Feb 2025
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data Sheresh Zahoor Pietro Liò G. Dias Mohammed Hasanuzzaman 44 0 0 28 Jan 2025
MACAW: A Causal Generative Model for Medical Imaging Vibujithan Vigneshwaran Erik Ohara Matthias Wilms Nils D. Forkert OOD CML MedIm 75 1 0 03 Dec 2024
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure C. Zhang Randolph Yao Si Qin Ze Li Shekhar Agrawal ... Tri Tran Minghua Ma Qingwei Lin Murali Chintalapati Dongmei Zhang 112 0 0 23 Oct 2024
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning Gianluca Carloni Sotirios A. Tsaftaris Sara Colantonio OOD 26 1 0 09 Aug 2024
Identifying treatment response subgroups in observational time-to-event data Vincent Jeanselme Chang Ho Yoon Fabian Falck Brian D. M. Tom Jessica Barrett OOD CML 38 0 0 06 Aug 2024
Visual Analysis of Multi-outcome Causal Graphs Mengjie Fan Jinlu Yu Daniel Weiskopf Nan Cao Huai-Yu Wang Liang Zhou CML 38 1 0 31 Jul 2024
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation Ziheng Wang Xinhe Li H. Momma Stefan Köpsell CML 31 0 0 23 Jul 2024
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs J. Durso-Finley Berardino Barile J. Falet Douglas L. Arnold Nick Pawlowski Tal Arbel AI4CE 33 2 0 18 Jun 2024
Causal Effect Identification in LiNGAM Models with Latent Confounders D. Tramontano Yaroslav Kivva Saber Salehkaleybar Mathias Drton Negar Kiyavash CML 34 0 0 04 Jun 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri Chengli Zhao Feng Chen Xintao Wu CML DiffM 35 4 0 27 Apr 2024
Causality from Bottom to Top: A Survey Abraham Itzhak Weinberg Cristiano Premebida Diego Resende Faria CML 36 1 0 17 Mar 2024
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach Kianoosh Kazemi Iina Ryhtä Iman Azimi Hannakaisa Niela-Vilén A. Axelin Amir M. Rahmani P. Liljeberg 16 0 0 25 Feb 2024
Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data Manuel Schürch Laura Boos V. Heinzelmann-Schwarz Gabriele Gut Michael Krauthammer Andreas Wicki Tumor Profiler Consortium 24 2 0 19 Feb 2024
Interpretation of Intracardiac Electrograms Through Textual Representations William Jongwon Han Diana Gomez Avi Alok Chaojing Duan Michael A. Rosenberg Douglas Weber Emerson Liu Ding Zhao 18 1 0 02 Feb 2024
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations Hang Chen Keqing Du Chenguang Li Xinyu Yang 49 2 0 02 Nov 2023
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling Zhenyu Zhu Francesco Locatello V. Cevher 40 6 0 27 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 31 7 0 17 Oct 2023
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes Yosuke Miyanishi M. Nguyen 26 2 0 19 Aug 2023
Diffusion Model in Causal Inference with Unmeasured Confounders Tatsuhiro Shimizu DiffM 19 3 0 07 Aug 2023
Relation-First Modeling Paradigm for Causal Representation Learning toward the Development of AGI Jia Li Xiang Li 9 0 0 31 Jul 2023
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Chris C. Emezue Alexandre Drouin T. Deleu Stefan Bauer Yoshua Bengio CML 35 2 0 11 Jul 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 49 14 0 10 May 2023
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models J. Durso-Finley J. Falet Raghav Mehta Douglas L. Arnold Nick Pawlowski Tal Arbel CML 22 4 0 05 May 2023
Optimizing Data-driven Causal Discovery Using Knowledge-guided Search Uzma Hasan Md. Osman Gani CML 38 2 0 11 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 38 18 0 03 Apr 2023
Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage Bonaventure F. P. Dossou Yeno K. S. Gbenou Miglanche Ghomsi Nono 16 2 0 19 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space Jia Li Xiang Li X. Jia M. Steinbach Vipin Kumar CML OOD AI4CE 16 0 0 15 Nov 2022
Diffusion Models for Causal Discovery via Topological Ordering Pedro Sanchez Xiao Liu Alison Q. OÑeil Sotirios A. Tsaftaris DiffM 88 47 0 12 Oct 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 32 7 0 19 Sep 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran 49 9 0 09 Sep 2022
A Review of Causality for Learning Algorithms in Medical Image Analysis Athanasios Vlontzos Daniel Rueckert Bernhard Kainz OOD 32 17 0 11 Jun 2022
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems N. Sivakumar C. Mura S. Peirce AI4CE 45 21 0 02 Jun 2022
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 150 35 0 21 Jan 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 280 10,613 0 19 Feb 2017