Thomas Wolfers

24 papers A* 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation.
AAAI
Yanwu Yang, Guinan Su, Jiesi Hu, Francesco Sammarco, Jonas Geiping, Thomas Wolfers
2026 J jnl
Unsupervised anomaly detection in medical imaging using aggregated normative diffusion.
Medical Image Anal.
Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner
2025 J jnl
Beyond Benchmarks: A Novel Framework for Domain-Specific LLM Evaluation and Knowledge Mapping.
CoRR
Nitin Sharma, Thomas Wolfers, Çagatay Yildiz
2025 J jnl
Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis.
CoRR
Alexander Frötscher, Christian F. Baumgartner, Thomas Wolfers
2025 — conf
Hierarchical Characterization of Brain Dynamics via State Space-Based Vector Quantization.
MICCAI (12)
Yanwu Yang, Thomas Wolfers
2025 J jnl
Hierarchical Characterization of Brain Dynamics via State Space-based Vector Quantization.
CoRR
Yanwu Yang, Thomas Wolfers
2025 — ed.
Machine Learning in Clinical Neuroimaging - 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings
MLCN@MICCAI
Deepti R. Bathula, Anoop Benet Nirmala, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Ahmed Nebli, Thomas Wolfers, Yiming Xiao
2025 J jnl
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation.
CoRR
Yanwu Yang, Guinan Su, Jiesi Hu, Francesco Sammarco, Jonas Geiping, Thomas Wolfers
2025 J jnl
Transforming psychiatry with computational and brain-based methods.
Nat. Comput. Sci.
Teddy J. Akiki, Leanne M. Williams, Thomas Wolfers, Yanwu Yang, Daniel Stahl, Claire M. Gillan
2024 J jnl
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence.
npj Digit. Medicine
Esten H. Leonardsen, Karin Persson, Edvard Grødem, Nicola Dinsdale, Till Schellhorn, James M. Roe, Dídac Vidal-Piñeiro, Øystein Sørensen, Tobias Kaufmann, Eric Westman, Andre F. Marquand, Geir Selbæk, Ole A. Andreassen, Thomas Wolfers, Lars T. Westlye, Yunpeng Wang
2024 — conf
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.
ISBI
Hao-Chun Yang, Ole A. Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers
2024 J jnl
Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces.
CoRR
Hao-Chun Yang, Sicheng Dai, Saige Rutherford, Christian Gaser, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers
2024 — conf
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling.
MLHC
Saige Rutherford, Thomas Wolfers, Charlotte J. Fraza, Nathaniel G. Harnett, Christian F. Beckmann, Henricus G. Ruhe, Andre F. Marquand
2024 J jnl
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling.
CoRR
Saige Rutherford, Thomas Wolfers, Charlotte J. Fraza, Nathaniel G. Harrnet, Christian F. Beckmann, Henricus G. Ruhe, Andre F. Marquand
2023 J jnl
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.
CoRR
Hao-Chun Yang, Ole A. Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers
2023 — ed.
Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
MLCN@MICCAI
Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Sindhuja Tirumalai Govindarajan, Mohamad Habes, Vinod Kumar, Esten H. Leonardsen, Thomas Wolfers, Yiming Xiao
2023 J jnl
Unsupervised Anomaly Detection using Aggregated Normative Diffusion.
CoRR
Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner
2022 J jnl
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models.
NeuroImage
Johanna M. M. Bayer, Richard Dinga, Seyed Mostafa Kia, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv, Andrew Zalesky, Lianne Schmaal, Andre F. Marquand
2022 J jnl
Deep neural networks learn general and clinically relevant representations of the ageing brain.
NeuroImage
Esten H. Leonardsen, Han Peng, Tobias Kaufmann, Ingrid Agartz, Ole A. Andreassen, Elisabeth Gulowsen Celius, Thomas Espeseth, Hanne F. Harbo, Einar A. Høgestøl, Ann-Marie G. de Lange, Andre F. Marquand, Dídac Vidal-Piñeiro, James M. Roe, Geir Selbæk, Øystein Sørensen, Stephen M. Smith, Lars T. Westlye, Thomas Wolfers, Yunpeng Wang
2022 — ed.
Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
MLCN@MICCAI
Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers
2021 — ed.
Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
MLCN@MICCAI
Ahmed Abdulkadir, Seyed Mostafa Kia, Mohamad Habes, Vinod Kumar, Jane Maryam Rondina, Chantal M. W. Tax, Thomas Wolfers
2020 J jnl
Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data.
CoRR
Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand
2020 — conf
Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data.
MICCAI (7)
Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand
2020 — ed.
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
MLCN/RNO-AI@MICCAI
Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal M. W. Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar