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Anton Schwaighofer
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2020 – today
- 2024
- [c18]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, Anja Thieme, Hannah Richardson, Matthew P. Lungren, Stephanie L. Hyland, Javier Alvarez-Valle:
MAIRA at RRG24: A specialised large multimodal model for radiology report generation. BioNLP@ACL 2024: 597-602 - [c17]Nur Yildirim
, Hannah Richardson
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CHI 2024: 444:1-444:22 - [i12]Fernando Pérez-García, Harshita Sharma
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. CoRR abs/2401.10815 (2024) - [i11]Nur Yildirim, Hannah Richardson, Maria T. A. Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A. Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CoRR abs/2402.14252 (2024) - [i10]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, Stephanie L. Hyland, Shruthi Bannur, Daniel C. Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. CoRR abs/2405.05299 (2024) - [i9]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
MAIRA-2: Grounded Radiology Report Generation. CoRR abs/2406.04449 (2024) - 2023
- [c16]Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CVPR 2023: 15016-15027 - [c15]Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma
Exploring the Boundaries of GPT-4 in Radiology. EMNLP 2023: 14414-14445 - [i8]Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Pérez-García
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CoRR abs/2301.04558 (2023) - [i7]Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma
Exploring the Boundaries of GPT-4 in Radiology. CoRR abs/2310.14573 (2023) - [i6]Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Mercy Ranjit
MAIRA-1: A specialised large multimodal model for radiology report generation. CoRR abs/2311.13668 (2023) - 2022
- [c14]Benedikt Boecking
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. ECCV (36) 2022: 1-21 - [i5]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:
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. CoRR abs/2204.09817 (2022) - 2021
- [i4]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:
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs. CoRR abs/2107.06618 (2021) - [i3]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:
Active label cleaning: Improving dataset quality under resource constraints. CoRR abs/2109.00574 (2021)
2010 – 2019
- 2013
- [c13]Ye Chen, Weiguo Liu, Jeonghee Yi, Anton Schwaighofer, Tak W. Yan:
Query clustering based on bid landscape for sponsored search auction optimization. KDD 2013: 1150-1158 - 2012
- [c12]Kareem Amin, Michael J. Kearns, Peter B. Key, Anton Schwaighofer:
Budget Optimization for Sponsored Search: Censored Learning in MDPs. UAI 2012: 54-63 - [i2]Kareem Amin, Michael J. Kearns, Peter B. Key, Anton Schwaighofer:
Budget Optimization for Sponsored Search: Censored Learning in MDPs. CoRR abs/1210.4847 (2012) - [i1]Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang:
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. CoRR abs/1212.2508 (2012)
2000 – 2009
- 2009
- [c11]Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich:
Scalable clustering and keyword suggestion for online advertisements. KDD Workshop on Data Mining and Audience Intelligence for Advertising 2009: 27-36 - 2008
- [j6]Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Katja Hansen, Antonius ter Laak
A Probabilistic Approach to Classifying Metabolic Stability. J. Chem. Inf. Model. 48(4): 785-796 (2008) - 2007
- [j5]Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. J. Comput. Aided Mol. Des. 21(9): 485-498 (2007) - [j4]Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. J. Comput. Aided Mol. Des. 21(12): 651-664 (2007) - [j3]Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach. J. Chem. Inf. Model. 47(2): 407-424 (2007) - [c10]Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter:
Structure Learning with Nonparametric Decomposable Models. ICANN (1) 2007: 119-128 - [e1]Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero Candela:
Gaussian Processes in Practice, Bletchley Park, Bletchley, UK, June 12-13, 2006. JMLR Proceedings 1, JMLR.org 2007 [contents] - 2005
- [c9]Kai Yu, Volker Tresp, Anton Schwaighofer:
Learning Gaussian processes from multiple tasks. ICML 2005: 1012-1019 - 2004
- [j2]Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-Peter Kriegel:
Probabilistic Memory-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 16(1): 56-69 (2004) - [c8]Anton Schwaighofer, Volker Tresp, Kai Yu:
Learning Gaussian Process Kernels via Hierarchical Bayes. NIPS 2004: 1209-1216 - 2003
- [j1]Anton Schwaighofer, Volker Tresp, Peter Mayer, Andreas Krause, Jürgen Beuthan, Helmut Rost, Georg Metzger, Gerhard A. Müller, Alexander K. Scheel:
Classification of rheumatoid joint inflammation based on laser imaging. IEEE Trans. Biomed. Eng. 50(3): 375-382 (2003) - [c7]Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann:
GPPS: A Gaussian Process Positioning System for Cellular Networks. NIPS 2003: 579-586 - [c6]Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang:
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. UAI 2003: 616-623 - 2002
- [c5]Kai Yu, Xiaowei Xu, Anton Schwaighofer, Volker Tresp, Hans-Peter Kriegel:
Removing redundancy and inconsistency in memory-based collaborative filtering. CIKM 2002: 52-59 - [c4]Anton Schwaighofer, Volker Tresp:
Transductive and Inductive Methods for Approximate Gaussian Process Regression. NIPS 2002: 953-960 - [c3]Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller:
The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging. NIPS 2002: 1409-1416 - 2001
- [c2]Volker Tresp, Anton Schwaighofer:
Scalable Kernel Systems. ICANN 2001: 285-291 - [c1]Anton Schwaighofer, Volker Tresp:
The Bayesian Committee Support Vector Machine. ICANN 2001: 411-420
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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