A Student Conference For Biomedical Image Computing
We meet every alternate Thursday afternoon (CET), where a speaker presents one of their recently published articles. The talk is for roughly 30 minutes, followed by a discussion for 30 to 45 minutes. The list of previous and upcoming talks is given below. This is the meeting link.
| Date | Time (CET) | Speaker | Talk | Paper | Slides | Video |
|---|---|---|---|---|---|---|
| 02.12.2021 | 14:30 | Dana Rahbani | Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction | link | link | link |
| 04.11.2021 | 14:30 | Tianfei Zhou | Exploring Cross-Image Pixel Contrast for Semantic Segmentation | link | link | link |
| 21.10.2021 | 14:30 | Chaoping Zhang | A Unified Model for Reconstruction and R2*-Mapping in Accelerated 7T MRI | link | link | link |
| 14.10.2021 | 14:30 | João Carvalho | Spatial Dependency Networks | link link |
link | link |
| 07.10.2021 | 14:30 | Kerem Tezcan | Sampling possible reconstructions of undersampled acquisitions in MR imaging | link | link | link |
| 23.09.2021 | 14:30 | Jan Unkelbach | Target volume definition in radiotherapy | link | link | link |
| 09.09.2021 | 14:30 | Qi Dou | The Role of Artificial Intelligence in the Next-generation Robotic Surgery | link | link | link |
| 12.08.2021 | 16:00 | Archana Venkataraman | You can Teach an Old Dog New Tricks - Deep Learning in Data Starved Regimes | link link link |
link | link |
| 29.07.2021 | 14:30 | Daniel Moyer | Scanner Invariant MRI Representations | link | link | link |
| 15.07.2021 | 14:30 | Julian Krebs | Learning a Generative Motion Model From Image Sequences | link link |
link | link |
| 01.07.2021 | 14:30 | Angelica I. Aviles-Rivero | Functionals, Neural Nets and Beyond: The Power of Hybrid Models with Minimal Supervision for Medical Image Classification |
link | link | link |
| 24.06.2021 | 14:30 | Herve Lombaert | Graph Convolutions - Examples on brain surfaces | link | link | link |
| 17.06.2021 | 14:30 | Valery Vishnevskiy | Model-Aware Neural Networks for Image Reconstruction | link link |
link | link |
| 10.06.2021 | 14:30 | Marco Lorenzi | Federated Learning in Medical Imaging: from Theory to Practice | link link |
link | link |
| 03.06.2021 | 14:30 | Roman Ludwig | A Hidden Markov Model for Lymphatic Tumor Progression | link | link | link |
| 27.05.2021 | 14:30 | Miguel Monteiro | Uncertainty Modeling in Image Segmentation | link | link | link |
| 20.05.2021 | 14:30 | Adrian Dalca | Amortized Hyperparameter Learning | link | link | link |
| 06.05.2021 | 14:30 | Stanley Durrleman | Spatiotemporal Statistical Shape Analysis | link link |
link | link |
| 29.04.2021 | 14:30 | Marc Niethammer | A Shooting Formulation of Deep Learning | link | link | link |
| 22.04.2021 | 14:30 | Francesco La Rosa | Image Synthesis for Improved Tissue and Lesion Segmentation | link | link | link |
| 15.04.2021 | 15:00 | Akshay Chaudhari | Data-Efficient AI for Accelerated MRI Acquisition | link | link | link |
| 01.04.2021 | 14:30 | Meenakshi Khosla | Predicting Cortical Response to Natural Stimuli using Deep Learning | link | link | link |
| 25.03.2021 | 14:30 | Anton Becker | Longitudinal Analysis of Brown Fat in Cancer Patients | link | link | link |
| 11.03.2021 | 14:30 | Mauricio Reyes | Interpretability-driven Active Sample Selection | link | link | link |
| 04.03.2021 | 14:30 | Neerav Karani | Robust Segmentation of Medical Images | link | link | link |
| 25.02.2021 | 14:30 | Bjoern Menze | Image-based Modeling of Tumour Growth | link | link | link |