Philipp Seegerer
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View article: Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics Open
Recent advances in digital pathology have demonstrated the effectiveness of foundation models across diverse applications. In this report, we present Atlas, a novel vision foundation model based on the RudolfV approach. Our model was train…
View article: PATH-05. MACHINE LEARNING-BASED CYTOLOGICAL ANALYSIS OF CEREBROSPINAL FLUID IN MEDULLOBLASTOMA
PATH-05. MACHINE LEARNING-BASED CYTOLOGICAL ANALYSIS OF CEREBROSPINAL FLUID IN MEDULLOBLASTOMA Open
BACKGROUND Metastatic dissemination occurring via the cerebrospinal fluid contributes to the poor prognosis in many medulloblastoma patients. It has high prognostic relevance, and its accurate detection is critical for adequate therapy str…
View article: Dataset to "Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights"
Dataset to "Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights" Open
Accompanying dataset for our paper "Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights", in Neuropathology and Applied Neurobiology.
View article: Dataset to "Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights"
Dataset to "Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights" Open
Accompanying dataset for our paper "Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights", in Neuropathology and Applied Neurobiology.
View article: Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights
Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights Open
Aim Analysis of cerebrospinal fluid (CSF) is essential for diagnostic workup of patients with neurological diseases and includes differential cell typing. The current gold standard is based on microscopic examination by specialised technic…
View article: DNA methylation-based classification of sinonasal tumors
DNA methylation-based classification of sinonasal tumors Open
The diagnosis of sinonasal tumors is challenging due to a heterogeneous spectrum of various differential diagnoses as well as poorly defined, disputed entities such as sinonasal undifferentiated carcinomas (SNUCs). In this study, we apply …
View article: Lymphocyte movement in human adenoids
Lymphocyte movement in human adenoids Open
The dataset includes videos of fresh adenoid tissue slices of 10 patiens. Each file is anonymised and cannot be traced back to an individual persons. Each patient gave his informed consent in accordance with the Declaration of Helsinki. Co…
View article: Lymphocyte movement in human adenoids
Lymphocyte movement in human adenoids Open
The dataset includes videos of fresh adenoid tissue slices of 10 patiens. Each file is anonymised and cannot be traced back to an individual persons. Each patient gave his informed consent in accordance with the Declaration of Helsinki. Co…
View article: Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on <scp>DNA</scp> methylation
Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on <span>DNA</span> methylation Open
In head and neck squamous cell cancers (HNSCs) that present as metastases with an unknown primary (HNSC‐CUPs), the identification of a primary tumor improves therapy options and increases patient survival. However, the currently available …
View article: iNNvestigate neural networks!
iNNvestigate neural networks! Open
In recent years, deep neural networks have revolutionized many application domains of machine learning and are key components of many critical decision or predictive processes. Therefore, it is crucial that domain specialists can understan…
View article: Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart
Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart Open
This paper illustrates how advanced multi-scale models can complement cardiovascular imaging and how they could be applied in patient care. Based on obtained results, it becomes conceivable that, after thorough validation, such heart failu…