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Thomas Wolfers
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2020 – today
- 2024
- [j3]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:
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence. npj Digit. Medicine 7(1) (2024) - [i4]Saige Rutherford, Thomas Wolfers, Charlotte J. Fraza, Nathaniel G. Harrnet, Christian F. Beckmann, Henricus G. Ruhe, Andre F. Marquand:
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling. CoRR abs/2407.19114 (2024) - 2023
- [e4]Ahmed Abdulkadir
, Deepti R. Bathula
, Nicha C. Dvornek
, Sindhuja Tirumalai Govindarajan
, Mohamad Habes
, Vinod Kumar
, Esten H. Leonardsen
, Thomas Wolfers
, Yiming Xiao
:
Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14312, Springer 2023, ISBN 978-3-031-44857-7 [contents] - [i3]Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner
:
Unsupervised Anomaly Detection using Aggregated Normative Diffusion. CoRR abs/2312.01904 (2023) - [i2]Hao-Chun Yang, Ole A. Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers:
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping. CoRR abs/2312.02762 (2023) - 2022
- [j2]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
:
Deep neural networks learn general and clinically relevant representations of the ageing brain. NeuroImage 256: 119210 (2022) - [j1]Johanna M. M. Bayer
, Richard Dinga, Seyed Mostafa Kia
, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv
, Andrew Zalesky, Lianne Schmaal, Andre F. Marquand:
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. NeuroImage 264: 119699 (2022) - [e3]Ahmed Abdulkadir
, Deepti R. Bathula, Nicha C. Dvornek
, Mohamad Habes
, Seyed Mostafa Kia
, Vinod Kumar
, Thomas Wolfers
:
Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13596, Springer 2022, ISBN 978-3-031-17898-6 [contents] - 2021
- [e2]Ahmed Abdulkadir
, Seyed Mostafa Kia
, Mohamad Habes
, Vinod Kumar
, Jane Maryam Rondina
, Chantal M. W. Tax
, Thomas Wolfers
:
Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 13001, Springer 2021, ISBN 978-3-030-87585-5 [contents] - 2020
- [c1]Seyed Mostafa Kia
, Hester Huijsdens, Richard Dinga, Thomas Wolfers
, Maarten Mennes
, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand
:
Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data. MICCAI (7) 2020: 699-709 - [e1]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:
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. Lecture Notes in Computer Science 12449, Springer 2020, ISBN 978-3-030-66842-6 [contents] - [i1]Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand:
Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data. CoRR abs/2005.12055 (2020)
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last updated on 2024-08-25 20:09 CEST by the dblp team
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