Fabio Hellmann
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View article: Hybrid neurofibroma/schwannoma in schwannomatosis—a diagnostically challenging benign peripheral nerve sheath tumour
Hybrid neurofibroma/schwannoma in schwannomatosis—a diagnostically challenging benign peripheral nerve sheath tumour Open
Hybrid neurofibroma/schwannoma tumors (HNS) represent a still underrecognized, yet clinically and diagnostically significant entity within the spectrum of schwannomatosis (SWN). While classical schwannomas have been well known for decades,…
View article: GestaltGAN: Synthetic photorealistic portraits of individuals with rare genetic disorders
GestaltGAN: Synthetic photorealistic portraits of individuals with rare genetic disorders Open
The facial gestalt (overall facial morphology) is a characteristic clinical feature in many genetic disorders that is often essential for suspecting and establishing a specific diagnosis. For that reason, publishing images of individuals a…
View article: Anonymization of Faces
Anonymization of Faces Open
Zusammenfassung This paper explores face anonymization techniques in the context of the General Data Protection Regulation (GDPR) amidst growing privacy concerns due to the widespread use of personal data in machine learning. We focus on u…
View article: Comparison of clinical geneticist and computer visual attention in assessing genetic conditions
Comparison of clinical geneticist and computer visual attention in assessing genetic conditions Open
Artificial intelligence (AI) for facial diagnostics is increasingly used in the genetics clinic to evaluate patients with potential genetic conditions. Current approaches focus on one type of AI called Deep Learning (DL). While DL- based f…
View article: GANonymization: A GAN-Based Face Anonymization Framework for Preserving Emotional Expressions
GANonymization: A GAN-Based Face Anonymization Framework for Preserving Emotional Expressions Open
In recent years, the increasing availability of personal data has raised concerns regarding privacy and security. One of the critical processes to address these concerns is data anonymization, which aims to protect individual privacy and p…
View article: Human and computer attention in assessing genetic conditions
Human and computer attention in assessing genetic conditions Open
Deep learning (DL) and other types of artificial intelligence (AI) are increasingly used in many biomedical areas, including genetics. One frequent use in medical genetics involves evaluating images of people with potential genetic conditi…
View article: The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data Open
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Public access to the training methodology for these solutions r…
View article: Towards Automated COVID-19 Presence and Severity Classification
Towards Automated COVID-19 Presence and Severity Classification Open
COVID-19 presence classification and severity prediction via (3D) thorax computed tomography scans have become important tasks in recent times. Especially for capacity planning of intensive care units, predicting the future severity of a C…
View article: Few-Shot Meta-Learning for Recognizing Facial Phenotypes of Genetic Disorders
Few-Shot Meta-Learning for Recognizing Facial Phenotypes of Genetic Disorders Open
Computer vision has useful applications in precision medicine and recognizing facial phenotypes of genetic disorders is one of them. Many genetic disorders are known to affect faces’ visual appearance and geometry. Automated classification…
View article: Towards Automated COVID-19 Presence and Severity Classification
Towards Automated COVID-19 Presence and Severity Classification Open
COVID-19 presence classification and severity prediction via (3D) thorax computed tomography scans have become important tasks in recent times. Especially for capacity planning of intensive care units, predicting the future severity of a C…
View article: GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions
GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions Open
In recent years, the increasing availability of personal data has raised concerns regarding privacy and security. One of the critical processes to address these concerns is data anonymization, which aims to protect individual privacy and p…
View article: Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles Open
Rare genetic disorders affect more than 6% of the global population. Reaching a diagnosis is challenging because rare disorders are very diverse. Many disorders have recognizable facial features that are hints for clinicians to diagnose pa…
View article: Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders Open
Computer vision-based methods have valuable use cases in precision medicine, and recognizing facial phenotypes of genetic disorders is one of them. Many genetic disorders are known to affect faces' visual appearance and geometry. Automated…
View article: NFB-03. Neurological manifestations in children and adolescents with Neurofibromatosis type 1 - Implications for management and surveillance
NFB-03. Neurological manifestations in children and adolescents with Neurofibromatosis type 1 - Implications for management and surveillance Open
INTRODUCTION: We aimed to (1) characterize the spectrum of clinical phenotypes of NF1 in a random pediatric population, (2) correlate genotype with phenotypic expression for those with a genetic diagnosis, and (3) explore radiological feat…