Machine learning in neuroimaging

Instructors

Prof. Dr. Christian Wachinger, Anne-Marie Rickmann, Tom Nuno Wolf, Fabian Bongratz, Bailiang Jian, Morteza Ghahremani

Contact

If you have any questions regarding this seminar contact seminars@ai-med.de.

Announcements

Pre-Course meeting is on February, 6, 2023 at 2pm via Zoom. The Zoom link: https://tum-conf.zoom.us/j/65036701820?pwd=TFA1OXpmTTkrOXg3enlLOFhhcEYwdz09 Meeting ID: 650 3670 1820 Passcode: 368762
Slides from pre-course meeting: ML-Neuro pre-course SoSe2023.pdf
Slides from the kickoff: Kickoff ML-Neuro Seminar.pdf
Collage of screenshots explaining the blog post editing process: edit_blog_instructions.pdf

Registration

Registration to the seminar is done via the TUM Matching Platform. Pay attention to the deadlines!!

Timeline

February 6, 2023, 2pm: pre-course meeting
April 4, 2023, 23:59: Deadline for deregistration
April 24, 2023, 2pm: Kickoff (online, attendance mandatory), assignment of papers
During the semester: meet your supervisor (optional but recommended)
June 13/14, 2023, 9-13: Block seminar (attendance is mandatory)

Topics

Paper ID	Title	Published in	Link	Presentation order	Supervisor	Student
1	Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis	NeurIPS	https://proceedings.neurips.cc/paper_files/paper/2022/file/57da66da25d0ce77e0129b246f358851-Paper-Conference.pdf	3	Christian Wachinger	Smaranda-Daria-Maria Bogoi
2	Forecasting individual progression trajectories in Alzheimer’s disease	Nature communications	https://www.nature.com/articles/s41467-022-35712-5	4	Christian Wachinger	Danya Liu
3	Indescribable Multi-modal Spatial Evaluator	CVPR	https://arxiv.org/abs/2303.00369	5	Fabian Bongratz	Barış Sözüdoğru
4	A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity	NeuroImage: Clinical	https://www.sciencedirect.com/science/article/pii/S2213158216300936	6	Fabian Bongratz	Ina Dempel
5	Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss	NeuroImage	https://ieeexplore.ieee.org/document/9446871?denied=	9	Morteza Ghahremani	Zaid Efraij
6	Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images	Journal of Healthcare Engineering	https://www.hindawi.com/journals/jhe/2022/3264367/	10	Morteza Ghahremani	Christian Pesch
7	FastSurferVINN: Building resolution-independence into deep learning segmentation methods—A solution for HighRes brain MRI	NeuroImage	https://www.sciencedirect.com/science/article/pii/S1053811922000623	11	Fabian Bongratz	Mücahit Umut Onat
8	SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining	Medical Image Analysis	https://www.sciencedirect.com/science/article/pii/S1361841523000506	12	Anne Rickmann	Milan Cupac
9	Toward a unified framework for interpreting machine-learning models in neuroimaging	Nature protocols	https://cocoanlab.github.io/pdfs/Kohoutova2020.pdf	1	Christian Wachinger	Marwa Trigui
10	Deep Structural Causal Shape Models	ECCV	https://link.springer.com/chapter/10.1007/978-3-031-25075-0_28	13	Nuno Wolf	Xin Zhou
11	Diffusion Models for Medical Image Analysis: A Comprehensive Survey	Arxiv	https://arxiv.org/abs/2211.07804	2	Nuno Wolf	Yusuf Emre Genc
12	Hyper-convolutions via implicit kernels for medical image analysis	Medical Image Analysis	https://arxiv.org/abs/2202.02701	14	Anne Rickmann	Markus Karmann
13	HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration	IEEE Transactions on Medical Imaging	https://ieeexplore.ieee.org/abstract/document/1175091	15	Bailiang Jian	Zeynep Yetistiren
14	Evidence of a predictive coding hierachy in the human brain listening to speech, Nature Human Behaviour	Nature human behavior	https://www.nature.com/articles/s41562-022-01516-2	7	Bailiang Jian	Johannes Kirmayr
15	ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks	IEEE Transactions on Pattern Analysis and Machine Intelligence	https://arxiv.org/abs/2102.07951	16	Bailiang Jian	Tim Dang
16	Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data	IEEE Transactions on Medical Imaging	https://ieeexplore.ieee.org/document/8918259	8	Anne Rickmann	Alina Weinberger