AS
Anton Schwaighofer
cs.CVcs.CLArtificial Intelligencecs.LGcs.AIModels, Chemicalcs.HCModels, TheoreticalQuantitative Structure-Activity RelationshipAdenocarcinoma
On Valency
published · living versionsW_3wg334kq·v1 · currentpublished
Budget Optimization for Sponsored Search: Censored Learning in MDPs
with Kareem Amin, Michael Kearns, Peter Key
1 version
Preprints & journals
28 papers in the corpus · 2003–2025Data Scaling Laws for Radiology Foundation Models2509.12818v1 · Maximilian Ilse, Harshita Sharma, Anton Schwaighofer et al.2025 · 0 citationsarXiv
Insights into a radiology-specialised multimodal large language model with sparse autoencoders2507.12950v2 · Kenza Bouzid, Shruthi Bannur, Felix Meissen et al.2025 · 0 citationsarXiv
Exploring scalable medical image encoders beyond text supervision2401.10815v3 · Fernando P'erez-Garc'ia, Harshita Sharma, Sam Bond-Taylor et al.2024 · 84 citationsNature Machine Intelligence (2025)
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models2411.11362v1 · Harshita Sharma, Valentina Salvatelli, Shaury Srivastav et al.2024 · 1 citationarXiv
MAIRA-2: Grounded Radiology Report Generation2406.04449v2 · Shruthi Bannur, Kenza Bouzid, Daniel C. Castro et al.2024 · 16 citationsarXiv
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology2405.05299v1 · Anja Thieme, Abhijith Rajamohan, Benjamin Cooper et al.2024 · 9 citationsarXiv
MAIRA-1: A specialised large multimodal model for radiology report generation2311.13668v3 · Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid et al.2023 · 15 citationsarXiv
Enabling large-scale screening of Barrett's esophagus using weakly supervised deep learning in histopathology.38467600 · Bouzid, Kenza, Sharma, Harshita, Killcoyne, Sarah et al.2024 · 29 citationsNature communications. 2024;15(1):2026
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing2301.04558v2 · Shruthi Bannur, Stephanie Hyland, Qianchu Liu et al.2023 · 214 citationsarXiv
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology2402.14252v1 · Nur Yildirim, Hannah Richardson, Maria T. Wetscherek et al.2024 · 79 citationsarXiv
Exploring the Boundaries of GPT-4 in Radiology2310.14573v1 · Qianchu Liu, Stephanie Hyland, Shruthi Bannur et al.2023 · 26 citationsarXiv
Enabling large-scale screening of Barrett's esophagus using weakly supervised deep learning in histopathology10.1101/2023.08.21.23294360v1 · Bouzid, K., Sharma, H., Killcoyne, S. et al.2023 · 29 citationsmedRxiv
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing2204.09817v4 · Benedikt Boecking, Naoto Usuyama, Shruthi Bannur et al.2022 · 277 citationsComputer Vision - ECCV 2022, LNCS vol 13696, pp 1-21
Active label cleaning for improved dataset quality under resource constraints2109.00574v2 · Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno et al.2021 · 108 citationsNature Communications 13 (2022) 1161
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs2107.06618v1 · Shruthi Bannur, Ozan Oktay, Melanie Bernhardt et al.2021 · 1 citationarXiv
Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers.33252691 · Oktay, Ozan, Nanavati, Jay, Schwaighofer, Anton et al.2021 · 78 citationsJAMA network open. 2020;3(11):e2027426
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes1212.2508v1 · Kai Yu, Anton Schwaighofer, Volker Tresp et al.2012 · 70 citationsarXiv
Budget Optimization for Sponsored Search: Censored Learning in MDPs1210.4847v1 · Kareem Amin, Michael Kearns, Peter Key et al.2012 · 43 citationsarXivon Valency
How wrong can we get? A review of machine learning approaches and error bars.19519325 · Schwaighofer, Anton, Schroeter, Timon, Mika, Sebastian et al.2009 · 31 citationsCombinatorial chemistry & high throughput screening. 2009;12(5):453-68
Predicting lipophilicity of drug-discovery molecules using Gaussian process models.17576646 · Schroeter, Timon S, Schwaighofer, Anton, Mika, Sebastian et al.2008 · 32 citationsChemMedChem. 2007;2(9):1265-7
A probabilistic approach to classifying metabolic stability.18327900 · Schwaighofer, Anton, Schroeter, Timon, Mika, Sebastian et al.2008 · 39 citationsJournal of chemical information and modeling. 2008;48(4):785-96
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.18060505 · Schroeter, Timon Sebastian, Schwaighofer, Anton, Mika, Sebastian et al.2008 · 71 citationsJournal of computer-aided molecular design. 2007;21(12):651-64
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.17632688 · Schroeter, Timon Sebastian, Schwaighofer, Anton, Mika, Sebastian et al.2008 · 71 citationsJournal of computer-aided molecular design. 2007;21(9):485-98
Machine learning models for lipophilicity and their domain of applicability.17637064 · Schroeter, Timon, Schwaighofer, Anton, Mika, Sebastian et al.2007 · 34 citationsMolecular pharmaceutics. 2007;4(4):524-38
Accurate solubility prediction with error bars for electrolytes: a machine learning approach.17243756 · Schwaighofer, Anton, Schroeter, Timon, Mika, Sebastian et al.2007 · 80 citationsJournal of chemical information and modeling. 2007;47(2):407-24
Mining functional modules in genetic networks with decomposable graphical models.15268775 · Dejori, Mathäus, Schwaighofer, Anton, Tresp, Volker et al.2005 · 7 citationsOmics : a journal of integrative biology. 2004;8(2):176-88
Classification of rheumatoid joint inflammation based on laser imaging.12669994 · Schwaighofer, Anton, Tresp, Volker, Mayer, Peter et al.2003 · 27 citationsIEEE transactions on bio-medical engineering. 2003;50(3):375-82
Career total: 67 works. 28 are in this corpus.Showing the 27 most recent.
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