- Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 mehr…
- DisguisOR: holistic face anonymization for the operating room. International Journal of Computer Assisted Radiology and Surgery 18 (7), 2023, 1209-1215 mehr…
- SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 mehr…
- S3M: Scalable Statistical Shape Modeling Through Unsupervised Correspondences. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 mehr…
- On the Localization of Ultrasound Image Slices Within Point Distribution Models. In: Shape in Medical Imaging. Springer Nature Switzerland, 2023 mehr…
- Know your sensORs - A Modality Study For Surgical Action Classification. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11 (4), 2022, 1113-1121 mehr…
Lennart Bastian
M.Sc. Lennart Bastian
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
- Phone: +49 (89) 289 - 17082
- Room: 5613.03.042
- Homepage
- lennart.bastian@tum.de
Research Interests
- Surgical Data Science & Workflow Recognition
- Shape Understanding and Applications in Medical Imaging
- 3D Computer Vision (3D Reconstruction, Pointcloud Segmentation, Scene Understanding)
Curriculum Vitae
- 03/2021 - current: PhD Student at CAMP Chair, TUM
- 03/2017 - 09/2020: M.Sc. Applied Mathematics, TUM
Publications
Teaching
Winter term 2024/25
| Title | Dates | Type | Duration | Lecturer (assistant) |
|---|---|---|---|---|
| Master-Seminar - Modern Computer Vision Methods (IN2107, IN4486) |  | SE | 2 | |
| Praktikum on 3D Computer Vision (IN2106, IN4313) | | PR | 6 |
Projects
Don't hesitate to contact me if you are interested in an IDP, Guided Research or Thesis Project.
| Date | Type | Topic | By |
|---|---|---|---|
| 2023 WS | Practical Project in Computer Vision | Learning Robust Deformation Energies | Rui Xiao, Ang Li, Yiwen Liu |
| 2023 WS | Data Innovation Lab | Exploring the Potential of Causality and Deep Learning for Medical Imaging | Leonard Waldmann, Daniel Bin Schmid, Ronald Skorobogat, Shunyu Zhao |
| 2023 WS | Interdisclipinary Project | Operating Room Personall Understanding through Gait Recogntion | Tony Wang |
| 2023 WS | Master's Thesis | Learning Molecular Dynamics Simulations with Neural Networks | Lana Frkin |
| 2023 WS | Master's Thesis | Robust Medical Image Segmentation through the Integration of Deep Statistical Shape Priors | Cansu Yildirim |
| 2023 SS | Practical Project in Computer Vision | Learning Deformations with Hand Interactions | Nick Fest, Askar Kolushev, Gözde Ünver |
| 2023 SS | Practical Project in Computer Vision | 6D Pose Estimation for Unseen Categories | Mohammad Rashed, Yizheng Xie, Tim Strohmeyer |
| 2023 SS | Research Internship | Neural Interpolation for Dynamic 6D Pose | Aude Bouille |
| 2022 WS | Master's Thesis | Temporally Consistent 4D Operating Room Segmentation | Daniel Derkacz-Bogner |
| 2022 WS | Master's Thesis | Unsupervised Representation Disentanglement of Human CT Scans | Saransh Agarwal |
| 2022 WS | Bachelor's Thesis | Whole organ SSM Generation from 3D Ultrasound | Stanley Sojka |
| 2022 WS | Master's Thesis | Unsupervised motion segmentation in Lidar Pointclouds | Nikutta, Philipp |
| 2022 WS | Master's Thesis | Unsupervised clustering for Indoor Semantic Segmentation | Fatma Merve Karali |
| 2022 WS | Master's Thesis | 2D3D Contrastive Learning for Weakly-supervised Indoor Semantic Segmentation | Mert Kiray |
| 2022 SS | Research Internship | Thyroid Registration using Anatomical Priors | Renaud Gaucher |
| 2022 SS | Case Studies Nonlinear Optimization | Partial Shape Correspondence through Decoupled Functional Maps | Bodo Lipp, Niklas Lüdtke, Pietro Massetani, Binlan Wu |
| 2022 SS | Data Innovation Lab | Partial Thyroid Correspondence | Alexander Baumann, Emily Hopp, Vincent Bürgin, Ha Young Kim |
| 2022 SS | Advanced Topics for 3D Computer Vision Project | Weakly Supervised Segmentation using Projective Cycle-consistency | Mert Kiray, Fatma Karali, Maximilian Forstenhäusler, Artem Evdokimov |
| 2022 SS | Bachelor Thesis | 3D Holistic OR Anonymization | Tony Wang |
| 2021 WS | Interdisciplinary Project | One Click 4D Operating Room Segmentation | Daniel Derkacz-Bogner |