The Bayesian Committee Support Vector Machine. - Anton Schwaighofer; Volker Tresp (ICANN, 2001)

Scalable Kernel Systems. - Volker Tresp; Anton Schwaighofer (ICANN, 2001)

Removing redundancy and inconsistency in memory-based collaborative filtering. - Kai Yu 001; Xiaowei Xu 001; Anton Schwaighofer; Volker Tresp; Hans-Peter Kriegel (CIKM, 2002)

Transductive and Inductive Methods for Approximate Gaussian Process Regression. - Anton Schwaighofer; Volker Tresp (NIPS, 2002)

The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging. - Anton Schwaighofer; Volker Tresp; Peter Mayer 005; Alexander K. Scheel; Gerhard A. Müller (NIPS, 2002)

GPPS: A Gaussian Process Positioning System for Cellular Networks. - Anton Schwaighofer; Marian Grigoras; Volker Tresp; Clemens Hoffmann 001 (NIPS, 2003)

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. - Kai Yu 001; Anton Schwaighofer; Volker Tresp; Wei-Ying Ma; HongJiang Zhang (UAI, 2003)

Classification of rheumatoid joint inflammation based on laser imaging. - Anton Schwaighofer; Volker Tresp; Peter Mayer 005; Andreas Krause 004; Jürgen Beuthan; Helmut Rost; Georg Metzger; Gerhard A. Müller; Alexander K. Scheel (IEEE Trans. Biomed. Eng., 2003)

Learning Gaussian Process Kernels via Hierarchical Bayes. - Anton Schwaighofer; Volker Tresp; Kai Yu 001 (NIPS, 2004)

Probabilistic Memory-Based Collaborative Filtering. - Kai Yu 001; Anton Schwaighofer; Volker Tresp; Xiaowei Xu 001; Hans-Peter Kriegel (IEEE Trans. Knowl. Data Eng., 2004)

Learning Gaussian processes from multiple tasks. - Kai Yu 001; Volker Tresp; Anton Schwaighofer (ICML, 2005)

Structure Learning with Nonparametric Decomposable Models. - Anton Schwaighofer; Mathäus Dejori; Volker Tresp; Martin Stetter (ICANN (1), 2007)

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. - Timon Schroeter; Anton Schwaighofer; Sebastian Mika; Antonius ter Laak; Detlev Sülzle; Ursula Ganzer; Nikolaus Heinrich; Klaus-Robert Müller (J. Comput. Aided Mol. Des., 2007)

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach. - Anton Schwaighofer; Timon Schroeter; Sebastian Mika; Julian Laub; Antonius ter Laak; Detlev Sülzle; Ursula Ganzer; Nikolaus Heinrich; Klaus-Robert Müller (J. Chem. Inf. Model., 2007)

A Probabilistic Approach to Classifying Metabolic Stability. - Anton Schwaighofer; Timon Schroeter; Sebastian Mika; Katja Hansen; Antonius ter Laak; Philip Lienau; Andreas Reichel; Nikolaus Heinrich; Klaus-Robert Müller (J. Chem. Inf. Model., 2008)

Scalable clustering and keyword suggestion for online advertisements. - Anton Schwaighofer; Joaquin Quiñonero Candela; Thomas Borchert; Thore Graepel; Ralf Herbrich (KDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009)

Budget Optimization for Sponsored Search: Censored Learning in MDPs. - Kareem Amin 002; Michael J. Kearns; Peter B. Key; Anton Schwaighofer (UAI, 2012)

Query clustering based on bid landscape for sponsored search auction optimization. - Ye Chen; Weiguo Liu; Jeonghee Yi; Anton Schwaighofer; Tak W. Yan (KDD, 2013)

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs. - Shruthi Bannur; Ozan Oktay; Melanie Bernhardt; Anton Schwaighofer; Rajesh Jena; Besmira Nushi; Sharan Wadhwani; Aditya V. Nori; Kal Natarajan; Shazad Ashraf; Javier Alvarez-Valle; Daniel C. Castro (CoRR, 2021)

Active label cleaning: Improving dataset quality under resource constraints. - Melanie Bernhardt; Daniel C. Castro; Ryutaro Tanno; Anton Schwaighofer; Kerem Can Tezcan; Miguel Monteiro; Shruthi Bannur; Matthew P. Lungren; Aditya V. Nori; Ben Glocker; Javier Alvarez-Valle; Ozan Oktay (CoRR, 2021)

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. - Benedikt Boecking; Naoto Usuyama; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Stephanie L. Hyland; Maria Wetscherek; Tristan Naumann; Aditya V. Nori; Javier Alvarez-Valle; Hoifung Poon; Ozan Oktay (ECCV (36), 2022)

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. - Shruthi Bannur; Stephanie L. Hyland; Qianchu Liu; Fernando Pérez-García; Maximilian Ilse; Daniel C. Castro; Benedikt Boecking; Harshita Sharma; Kenza Bouzid; Anja Thieme; Anton Schwaighofer; Maria Wetscherek; et al. (CVPR, 2023)

Exploring the Boundaries of GPT-4 in Radiology. - Qianchu Liu; Stephanie L. Hyland; Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Maria Wetscherek; Robert Tinn; Harshita Sharma; Fernando Pérez-García; Anton Schwaighofer; Pranav Rajpurkar; Sameer Tajdin Khanna; et al. (EMNLP, 2023)

MAIRA-1: A specialised large multimodal model for radiology report generation. - Stephanie L. Hyland; Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Mercy Ranjit; Anton Schwaighofer; Fernando Pérez-García; Valentina Salvatelli; Shaury Srivastav; Anja Thieme; Noel Codella; Matthew P. Lungren; et al. (CoRR, 2023)

MAIRA at RRG24: A specialised large multimodal model for radiology report generation. - Shaury Srivastav; Mercy Ranjit; Fernando Pérez-García; Kenza Bouzid; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Harshita Sharma; Maximilian Ilse; Valentina Salvatelli; Sam Bond-Taylor; Fabian Falck; et al. (BioNLP@ACL, 2024)

Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. - Nur Yildirim; Hannah Richardson; Maria Teodora Wetscherek; Junaid Bajwa; Joseph Jacob; Mark Ames Pinnock; Stephen Harris; Daniel Coelho de Castro; Shruthi Bannur; Stephanie L. Hyland; Pratik Ghosh; Mercy Ranjit; et al. (CHI, 2024)

MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models. - Harshita Sharma; Valentina Salvatelli; Shaury Srivastav; Kenza Bouzid; Shruthi Bannur; Daniel C. Castro; Maximilian Ilse; Sam Bond-Taylor; Mercy Prasanna Ranjit; Fabian Falck; Fernando Pérez-García; Anton Schwaighofer; et al. (ML4H@NeurIPS, 2024)

RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. - Fernando Pérez-García; Harshita Sharma; Sam Bond-Taylor; Kenza Bouzid; Valentina Salvatelli; Maximilian Ilse; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Matthew P. Lungren; Maria Wetscherek; Noel Codella; et al. (CoRR, 2024)

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. - Anja Thieme; Abhijith Rajamohan; Benjamin Cooper; Heather Groombridge; Robert Simister; Barney Wong; Nicholas Woznitza; Mark Ames Pinnock; Maria Teodora Wetscherek; Cecily Morrison; Hannah Richardson; Fernando Pérez-García; et al. (CoRR, 2024)

MAIRA-2: Grounded Radiology Report Generation. - Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Anton Schwaighofer; Sam Bond-Taylor; Maximilian Ilse; Fernando Pérez-García; Valentina Salvatelli; Harshita Sharma; Felix Meissen; Mercy Ranjit; Shaury Srivastav; et al. (CoRR, 2024)

Exploring scalable medical image encoders beyond text supervision. - Fernando Pérez-García; Harshita Sharma; Sam Bond-Taylor; Kenza Bouzid; Valentina Salvatelli; Maximilian Ilse; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Matthew P. Lungren; Maria Teodora Wetscherek; Noel Codella; et al. (Nat. Mac. Intell., 2025)

Insights into a radiology-specialised multimodal large language model with sparse autoencoders. - Kenza Bouzid; Shruthi Bannur; Felix Meissen; Daniel Coelho de Castro; Anton Schwaighofer; Javier Alvarez-Valle; Stephanie L. Hyland (CoRR, 2025)

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. - Anja Thieme; Abhijith Rajamohan; Benjamin Cooper; Heather Groombridge; Robert Simister; Barney Wong; Nicholas Woznitza; Mark A. Pinnock; Maria T. A. Wetscherek; Cecily Morrison; Hannah Richardson; Fernando Pérez-García; et al. (ACM Trans. Comput. Hum. Interact., 2025)