Medical Imaging

CIR/03/2024: Postdoc/Research Staff position in Computational Medical Imaging (m/f/d)

starting Nov. 2024 or as agreed upon. The position is initially limited to two years.

MA Thesis: Development of a Machine Learning Algorithm for Histopathological Classification of Conjunctival Melanocytic Intraepithelial Lesions

Abstract. Conjunctival Melanocytic Intraepithelial Lesions (CMIL) are a significant precursor to conjunctival melanoma, a rare but potentially fatal ocular cancer. The histopathological classification of CMIL is crucial for early diagnosis and treatment planning.

CIR/02/2024: Medical Research Assistant (m/f/d)

starting Oct 2024 or as agreed upon. The position is initially limited to two years, with the possibility of extension.

CIR/01/2024: Ph.D. position in AI in Medicine with Large Language Models (m/f/d)

starting Oct 2024 or as agreed upon. The position is initially limited to three years, with the possibility of extension.

MA Thesis: Investigating Bias in AI Algorithms for Breast Cancer Detection from Mammography Imaging: A Focus on Generalization to Unseen Populations

Abstract. Breast density is a critical factor in breast cancer risk and detection, influencing the effectiveness of mammography. Higher breast density, characterized by a greater proportion of fibroglandular tissue relative to fatty tissue, is associated with a four- to sixfold increase in breast cancer risk.

MA Thesis: Deep Learning for Brain MRI Image Quality Transfer -- Not available

Abstract. Magnetic Resonance Imaging (MRI) plays a vital role in modern diagnostics, offering detailed, non-invasive insights into human anatomy [1-2]. High-field MRI (HF-MRI) systems, which operate at higher magnetic field strengths, provide superior image resolution and contrast compared to low-field MRI (LF-MRI) systems [3-4].

BA/MA Thesis: Deep Learning for Fetal Diaphragmatic Hernias Detection in US Images

Abstract. Fetuses with diaphragmatic hernias face severe health and survival risks. Treatment and outcomes can be improved if this condition is detected early. Ultrasound measurement of the lung-to-head ratio (o/e LHR) is widely used in obstetric ultrasound procedures for the assessment of the observed to expected lung-to-head ratio.

BA/MA Thesis: Deep Learning for Inherited Retinal Diseases Detection -- Not available

Abstract. Our project aims to improve the diagnosis of Inherited Retinal Dystrophies (IRDs), a group of rare retinal diseases impacting over 2 million people globally [1]. IRDs can lead to vision problems like night blindness, color blindness, tunnel vision, and eventual blindness, greatly affecting patients’ and their families’ quality of life [4].

MA Thesis: Deep Learning based detection model of the temporal and axillary artery in suspected giant cell arteritis in ultrasound images -- Not available

Abstract. Giant cell arteritis (GCA) is a systemic autoimmune disease marked by inflammation of blood vessels (“vasculitis”) that can cause impairment and damage to organs [1]. GCA typically affects large and medium size arteries, such as the aorta and the temporal and axillary arteries [2–4].

MA Thesis: Deep Learning based model for detection and grading of prostate cancer using mpMRI and MR-Fingerprinting -- Not available

Abstract. Prostate cancer (PCa) is the most common cancer in men and the second leading cause of cancer death in Germany [4,14]. Both digital rectal examination (DRE) along with the prostate-specific antigen (PSA) level in blood samples are typically used in PCa screening.