- Learning to learn in medical applications. In: Meta Learning With Medical Imaging and Health Informatics Applications. Elsevier, 2023 mehr…
- Few-shot segmentation of 3D medical images. In: Meta Learning With Medical Imaging and Health Informatics Applications. Elsevier, 2023 mehr…
- Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2022 mehr…
- MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. In: Domain Adaptation and Representation Transfer. Springer Nature Switzerland, 2022 mehr…
- FedAP: Adaptive Personalization in Federated Learning for Non-IID Data. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2022 mehr…
- DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation. 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, BMVA Press, 2022 mehr…
- Unconditional Scene Graph Generation. IEEE International Conference on Computer Vision (ICCV), 2021 mehr…
- MIGS: Meta Image Generation from Scene Graphs. BMVC, 2021 mehr…
- Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. Thirty-Fifth Conference on Neural Information Processing Systems, 2021 mehr…
- Inverse Distance Aggregation for Federated Learning with Non-IID Data. In: Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Springer International Publishing, 2020 mehr…
- Semantic Image Manipulation Using Scene Graphs. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020 mehr…
- Adversarial Network Compression. In: Lecture Notes in Computer Science. Springer International Publishing, 2019 mehr…
Azade Farshad
M.Sc. Azade Farshad
Technical University of Munich
Institute of Informatics
Place of employment
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Work:
Boltzmannstr. 3(5613)/III
85748 Garching b. München
- Phone: +49 (89) 289 - 19403
- Room: 5613.03.043
- Homepage
- azade.farshad@tum.de
Research interests
- Scene graphs
- Generative Models
- Unsupervised Learning
- Self-Supervised Learning
- Meta-learning
- Multi-modal learning
Research Projects
- MIGS: Meta Image Generation from Scene Graphs (BMVC 2021) Project Page | Code
- Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information (NeurIPS 2021) Code
- Unconditional Scene Graph Generation (ICCV 2021) Project Page
- Inverse Distance Aggregation for Federated Learning (MICCAI Workshop 2020) Project Page
- Semantic Image Manipulation using Scene Graphs (CVPR 2020) Project Page | Code
- Neural Network Compression (ECCV Workshop 2018) Project Page
Teaching
Wintersemester 2023/24
| Titel | Termine | Art | Dauer | Vortragende/r (Mitwirkende/r) |
|---|---|---|---|---|
| Master-Praktikum - Machine Learning in Medical Imaging (IN2106, IN4142) |  | PR | 6 | |
| Master-Seminar - Deep Learning for Medical Applications (IN2107, IN4860) | | SE | 2 |
Sommersemester 2024
| Titel | Termine | Art | Dauer | Vortragende/r (Mitwirkende/r) |
|---|---|---|---|---|
| Master-Praktikum - Machine Learning in Medical Imaging (IN2106, IN4142) | | PR | 6 | |
| Master-Seminar - Deep Learning for Medical Applications (IN2107, IN4860) | | SE | 2 |
Student Projects
Feel free to contact me for any of the following projects, or if you are interested in related topics.
| Type | Title | Student | Status |
|---|---|---|---|
| Master Thesis | Annotation Efficient Surgical Video Analysis with GNNs | Caghan Koksal | Running |
| IDP | Representation Learning for Semantic Image Manipulation using Diffusion Models | Caghan Koksal | Running |
| Master Thesis | Interpretable Prototypical-Networks with Concept Learning | Sraddha Das | Finished |
| Master Thesis | Joint representation learning for synchronised video and EOG data | Sonja Stefani | Finished |
| Master Thesis | Semantic Image Manipulation using Objectwise Graph Feature Extraction | Pavel Jahoda | Finished |
| Master Thesis | Towards Medical Image Segmentation using Self-Supervised Learning | Peter Weinberger | Finished |
| Master Thesis | Human Role Prediction Using Knowledge Graphs | Aleksandr Zuev | Finished |
| Guided Research | Meta-learning for Computer Vision using Evolutionary Algorithms | Sraddha Das | Finished |
| Master Thesis | Self-supervised learning using Contrastive Generative Models | Anastasia Makarevich | Finished |
| Master Thesis | Scene graph generation | Sarthak Garg | Finished |
| Master Thesis | Meta-learning for Image Generation/Manipulation using Scene Graphs | Sabrina Musatian | Finished |
| Guided Research | Meta-learning for Medical Image Segmentation | Anastasia Makarevich | Finished |
| Master Thesis | Meta-clustering | Samin Hamidi | Finished |
| Master Thesis | Towards More Robust Machine Learning Models | Mariem Kthiri | Finished |
| Master Thesis | Federated Learning with Non-iid data | Yousef Yegane | Finished |
| Guided Research | Robustness of Knowledge Transfer Methods | Yousef Yegane | Finished |
Professional Services
- Executive Committee Member at Britimish Machine Vision Association (BMVA)
- Board Member at Women in MICCAI (WiM)
- Primary Organizer of the CVPR 2024 SG2RL Workshop
- Co-Organizer of the CVPR 2024 WiCV Workshop
- Primary Organizer of the ICCV 2023 SG2RL Workshop
- Associate Program Chair at IPMI 2023 Conference
- Reviewer at:
- CVPR, ICCV, ICLR, ECCV, BMVC, WACV, ACCV