Index
Evaluate Simpleshot: Simple implementation of few-shot classification on CXRs
Evaluate simpleshot – a simple implementation of few -shot classification on various findings on CXRs.
This report demonstrates that given sufficient pretraining data, we can achieve comparable classification results for complex findings such as pneumothorax , etc with less than 10 images.
Text Embedddings in Pathological Speech
Evaluation of Quantum Annealing based Projection Selection for Emission Tomography
Differential privacy for securing speech-based deep learning models against gradient inversion attacks
A Hybrid TransUNet-TransFuse Architectural Framework for Ice Boundaries Extraction in Radio-Echo Sounding Data
Evaluation of the TransSounder [1] architecture for direct ice boundaries extraction from radio-echo sounding data.
References
[1] Ghosh, R., & Bovolo, F. (2022). Transsounder: A hybrid transunet-transfuse architectural framework for semantic segmentation of radar sounder data. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-13.
3D CT Image Visualization using Blender
Introduction:
This project aims to develop a streamlined pipeline for 3D CT images visualization using Blender and Bioxel Nodes. You’ll create a step-by-step process to import, process, and render medical imaging data, resulting in high-quality scientific visualizations. This 5 ECTS project will enhance your technical skills and ability to visualize complex medical data.
Source: https://omoolab.github.io/BioxelNodes/0.1.x/
Prospective candidates are warmly invited to send their CV and transcript to yipeng.sun@fau.de.
CBCT to CT Translation Using Deep Learning
Neural Network Implementation of Reaction-Diffusion Equations for Tumor Growth Modeling Using Stochastic Differential Equations
Retrieval Augmented Generation for Medical Question Answering
Project Seminar: Reproduce Research Results
In this seminar, students will engage in reproducing state-of-the-art scientific results with two main objectives. Firstly, students will work on projects that are close to current state-of-the-art research, and secondly, they will develop essential competencies in reproducing and critically analyzing scientific results. The projects will be tailored to match each student’s interests in terms of methodology and application, while the task requirements and grading criteria will be standardized across the board. The outcome of this project will contribute to the scientific community by providing a report on the state of reproducibility within the field.
The seminar will begin with a series of lectures. Students will initially evaluate publications from leading conferences in the field, focusing on their reproducibility, to gather comprehensive insights and understand the challenges involved. Typically, the evaluation will concentrate on publications from top-tier international conferences, such as CVPR and MICCAI. The specific conferences of focus may change each semester and will be announced at the start of the semester.
Students will have the option to choose from varying degrees of reproduction effort, ranging from attempting to reproduce a single result from a paper to fully implementing an entire paper. Depending on the complexity of the chosen task, students may analyze one or multiple publications.
Peer feedback and exchanges within small groups will form part of the seminar, although all reproduction efforts and deliverables will be individual work.
If you are interested, please join the first lecture on 16.10.2024 at 8.15 am in lecture hall H4 (Martensstraße 1, 91058 Erlangen).
Course registration opens on October 16, 2024, and will close on October 20, 2024. The StudOn link and password will be shared during the first lecture. Registration will follow a first-come, first-served basis.