
Fryderyk Kögl- Bachelor of Science
- Technical University of Munich
Fryderyk Kögl
- Bachelor of Science
- Technical University of Munich
About
8
Publications
1,248
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37
Citations
Introduction
I am currently working on deformable registration of pre-operative to intraoperative images for brain tumor resection
Current institution
Additional affiliations
July 2020 - present
OneProjects
Position
- Working Student
April 2019 - August 2019
Mentalab
Position
- Developer
Education
October 2019 - September 2021
October 2014 - February 2019
Publications
Publications (8)
General vision encoders like DINOv2 and SAM have recently transformed computer vision. Even though they are trained on natural images, such encoder models have excelled in medical imaging, e.g., in classification, segmentation, and registration. However, no in-depth comparison of different state-of-the-art general vision encoders for medical regist...
The standard of care for brain tumors is maximal safe surgical resection. Neuronavigation augments the surgeon’s ability to achieve this but loses validity as surgery progresses due to brain shift. Moreover, gliomas are often indistinguishable from surrounding healthy brain tissue. Intraoperative magnetic resonance imaging (iMRI) and ultrasound (iU...
We introduce MHVAE, a deep hierarchical variational auto-encoder (VAE) that synthesizes missing images from various modalities. Extending multi-modal VAEs with a hierarchical latent structure, we introduce a probabilistic formulation for fusing multi-modal images in a common latent representation while having the flexibility to handle incomplete im...
The standard of care for brain tumors is maximal safe surgical resection as the first step. Neuronavigation augments the surgeon's ability to achieve this but loses validity due to brain shift as surgery progresses. Moreover, many gliomas are difficult to distinguish from adjacent healthy brain tissue. Intraoperative MRI (iMRI) is a useful surgical...
This work presents a novel tool-free neuronavigation method that can be used with a single RGB commodity camera. Compared with freehand craniotomy placement methods, the proposed system is more intuitive and less error prone. The proposed method also has several advantages over standard neuronavigation platforms. First, it has a much lower cost, si...
The steady-state visual-evoked potential-based brain-computer interface (SSVEP-BCI) is a typically recognized visual stimulus frequency from brain responses. Each frequency represents one command to control a machine. For example, multiple target stimuli with different frequencies can be used to control the moving speeds of a robot. Each target sti...
Questions
Questions (2)
I'm looking for a dataset containing ultrasound images with tools (e.g. needles or catheters) and their segmentations. I want to train a CNN to perform the segmentation
Dear Colleagues,
Can anyone suggest a database of segmented cardiac structures in CT scans? It could be the whole heart or just a part of it.
The only one that I could find was the STACOM Left atrial wall thickness challenge dataset (https://www.doc.ic.ac.uk/~rkarim/la_lv_framework/wall/index.html).
Thank you for your help.
Fryderyk