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2020 – today
- 2026
[j10]Michail Mamalakis, Héloïse de Vareilles, Atheer Al-Manea, Samantha C. Mitchell, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray:
An explainable three dimensional framework to uncover learning patterns: A unified look in variable sulci recognition. Artif. Intell. Medicine 171: 103286 (2026)- 2025
- [j9]Michail Mamalakis
, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio:
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks. AI Open 6: 70-81 (2025) - [c4]Yanghee Im, Leila Nabulsi, Melody J. Y. Kang, Sophia I. Thomopoulos, Ana M. Diaz Zuluaga, Anders M. Dale, Andriana Karuk, Annabella Di Giorgio, Benson Mwangi, Boris Gutman, Bronwyn Overs, Carlos López Jaramillo, Colm McDonald, Dan J. Stein, Dara M. Cannon, David C. Glahn, Diego Hidalgo-Mazzei, Diliana Pecheva, Dominik Grotegerd, Edith Pomarol-Clotet, Eduard Vieta, Emilie Olie, Enric Vilajosana Chertó, Fabio Sambataro, Fleur Howells, Freda Scheffler, Geraldo Busatto, Gerard Anmella, Giovana B. Zunta-Soares, Gloria M. P. Roberts, Henk Temmingh, Ian H. Gotlib, Ingrid Agartz, Jair C. Soares, James A. Karantonis, James Prisciandaro, Janice M. Fullerton, Joaquim Radua, Jonathan Savitz, Josselin Houenou, Kang Sim, Kenichiro Harada, Klaus Berger, Koji Matsuo, Lakshmi Yatham, Lars Tjelta Westlye, Lisa Eyler, Lisa Furlong, Luisa Klahn, Marco Hermesdorf, Marcus V. Zanetti, Matthew Kempton, Matthew D. Sacchet, Mikael Landen, Mon-Ju Wu, Pedro Rosa, Philip Mitchell, Pravesh Parekh, Raymond Salvador, Rayus Kuplicki, Salvador Sarró, Susan Rossell, Tamsyn Van Rheenen, Theodore Satterthwaite, Tilo Kircher, Tomas Hajek, Udo Dannlowski, Xavier Caseras, Yuji Zhao, Ole A. Andreassen, Paul M. Thompson, Christopher R. K. Ching:
A Scalable Toolkit for Modeling 3D Surface-Based Brain Geometry. ShapeMI@MICCAI 2025: 232-246 - 2024
- [i3]Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio:
Solving the enigma: Deriving optimal explanations of deep networks. CoRR abs/2405.10008 (2024) - [i2]Michail Mamalakis, Héloïse de Vareilles, Shun-Chin Jim Wu, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray:
Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification. CoRR abs/2405.19204 (2024) - 2023
- [i1]Michail Mamalakis, Héloïse de Vareilles, Atheer AI-Manea, Samantha C. Mitchell, Ingrid Agartz, Lynn Egeland Morch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray:
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. CoRR abs/2309.00903 (2023) - 2022
- [j8]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) - 2021
- [j7]Stener Nerland, Kjetil N. Jørgensen, Wibeke Nordhøy, Ivan I. Maximov, Robin A. B. Bugge, Lars T. Westlye, Ole A. Andreassen, Oliver M. Geier, Ingrid Agartz:
Multisite reproducibility and test-retest reliability of the T1w/T2w-ratio: A comparison of processing methods. NeuroImage 245: 118709 (2021) - 2020
- [j6]Md Abdur Rahaman, Daniel H. Mathalon, Hyo Jong Lee, Wenhao Jiang, Bryon A. Mueller, Ole A. Andreassen, Ingrid Agartz, Scott R. Sponheim, Andrew R. Mayer, Julia M. Stephen, Rex E. Jung, Jessica A. Turner, José M. Cañive, Juan R. Bustillo, Vince D. Calhoun, Cota Navin Gupta, Srinivas Rachakonda, Jiayu Chen, Jingyu Liu, Theo G. M. van Erp, Steven G. Potkin, Judith M. Ford:
N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. IEEE Trans. Biomed. Eng. 67(1): 110-121 (2020)
2010 – 2019
- 2017
- [j5]Tobias Kaufmann, Dag Alnæs, Christine Lycke Brandt, Nhat Trung Doan, Karolina Kauppi, Francesco Bettella, Trine V. Lagerberg, Akiah O. Berg, Srdjan Djurovic, Ingrid Agartz, Ingrid Melle, Torill Ueland, Ole A. Andreassen, Lars T. Westlye:
Task modulations and clinical manifestations in the brain functional connectome in 1615 fMRI datasets. NeuroImage 147: 243-252 (2017) - [j4]Nhat Trung Doan, Andreas Engvig, Krystal Zaske, Karin Persson, Martina Jonette Lund, Tobias Kaufmann, Aldo Córdova-Palomera, Dag Alnæs, Torgeir Moberget, Anne Brækhus, Laura Barca, Jan Egil Nordvik, Knut Engedal, Ingrid Agartz, Geir Selbæk, Ole A. Andreassen, Lars T. Westlye:
Distinguishing early and late brain aging from the Alzheimer's disease spectrum: consistent morphological patterns across independent samples. NeuroImage 158: 282-295 (2017) - 2013
- [j3]Morten Mattingsdal, Andrew Anand Brown, Srdjan Djurovic, Ida Elken Sønderby, Andres Server, Ingrid Melle, Ingrid Agartz, Eivind Hovig, Jimmy Jensen, Ole A. Andreassen:
Pathway analysis of genetic markers associated with a functional MRI faces paradigm implicates polymorphisms in calcium responsive pathways. NeuroImage 70: 143-149 (2013) - [c3]Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen, Andrew J. Saykin, Greig I. de Zubicaray, Katie McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, Paul M. Thompson:
Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. MICCAI (2) 2013: 690-697
2000 – 2009
- 2009
- [j2]Glenn Lawyer, Egil Ferkingstad, Ragnar Nesvåg, Katarina Varnäs, Ingrid Agartz:
Local and covariate-modulated false discovery rates applied in neuroimaging. NeuroImage 47(1): 213-219 (2009) - [j1]Lars T. Westlye, Kristine B. Walhovd, Anders M. Dale, Thomas Espeseth, Ivar Reinvang, Naftali Raz, Ingrid Agartz, Douglas N. Greve, Bruce Fischl, Anders M. Fjell:
Increased sensitivity to effects of normal aging and Alzheimer's disease on cortical thickness by adjustment for local variability in gray/white contrast: A multi-sample MRI study. NeuroImage 47(4): 1545-1557 (2009) - 2005
- [c2]Roger Hult, Ingrid Agartz:
Segmentation of Multimodal MRI of Hippocampus Using 3D Grey-Level Morphology Combined with Artificial Neural Networks. SCIA 2005: 272-281 - 2002
- [c1]Stefan Arnborg, Ingrid Agartz, Håkan Hall, Erik Jönsson, Anna Sillén, Göran Sedvall:
Data Mining in Schizophrenia Research - Preliminary Analysis. PKDD 2002: 27-38
Coauthor Index
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