Florian Kromp
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View article: An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization
An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization Open
Medical Assisted Reproduction proved its efficacy to treat the vast majority forms of infertility. One of the key procedures in this treatment is the selection and transfer of the embryo with the highest developmental potential. To assess …
View article: O-285 Artificial intelligence algorithms reach expert-level accuracy in automated grading of blastocyst morphology assessment based on static embryo images and Gardner criteria
O-285 Artificial intelligence algorithms reach expert-level accuracy in automated grading of blastocyst morphology assessment based on static embryo images and Gardner criteria Open
Study question Can artificial intelligence (AI) algorithms reach expert-level accuracy in blastocyst morphology assessment according to Gardner criteria? Summary answer The prediction accuracy of the best performing AI algorithm (Deit), ou…
View article: VP2: Schwann Cells Regulate Neuronal Differentiation by Epidermal Growth Factor-Like Protein 8
VP2: Schwann Cells Regulate Neuronal Differentiation by Epidermal Growth Factor-Like Protein 8 Open
INTRODUCTION: The remarkable plasticity of adult Schwann cells (SCs) allows them to adopt an alternative phenotype with repair-specific functions essential for the regeneration of injured peripheral nerves. However, SC plasticity is also m…
View article: Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging
Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging Open
While the bone marrow attracts tumor cells in many solid cancers leading to poor outcome in affected patients, comprehensive analyses of bone marrow metastases have not been performed on a single-cell level. We here set out to capture tumo…
View article: Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging
Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging Open
MELC (Multi-epitope ligand cartography) multiplex imaging data of our neuroblastoma cohort supporting the publication " Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging". Th…
View article: Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging
Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging Open
MELC (Multi-epitope ligand cartography) multiplex imaging data of our neuroblastoma cohort supporting the publication " Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging". Th…
View article: Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging
Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging Open
MELC (Multi-epitope ligand cartography) multiplex imaging data of our neuroblastoma cohort supporting the publication " Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging". Th…
View article: Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation Open
Separating and labeling each nuclear instance (instance-aware segmentation) is the key challenge in nuclear image segmentation. Deep Convolutional Neural Networks have been demonstrated to solve nuclear image segmentation tasks across diff…
View article: Single-cell landscape of bone marrow metastases in human neuroblastoma unraveled by deep multiplex imaging
Single-cell landscape of bone marrow metastases in human neuroblastoma unraveled by deep multiplex imaging Open
Bone marrow commonly serves as a metastatic niche for disseminated tumor cells (DTCs) of solid cancers in patients with unfavorable clinical outcome. Single-cell assessment of bone marrow metastases is essential to decipher the entire spec…
View article: An annotated fluorescence image dataset for training nuclear segmentation methods
An annotated fluorescence image dataset for training nuclear segmentation methods Open
Fully-automated nuclear image segmentation is the prerequisite to ensure statistically significant, quantitative analyses of tissue preparations,applied in digital pathology or quantitative microscopy. The design of segmentation methods th…
View article: Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation Open
Separating and labeling each instance of a nucleus (instance-aware segmentation) is the key challenge in segmenting single cell nuclei on fluorescence microscopy images. Deep Neural Networks can learn the implicit transformation of a nucle…
View article: A Visual Analytics Approach for Patient Stratification and Biomarker Discovery
A Visual Analytics Approach for Patient Stratification and Biomarker Discovery Open
We introduce discoVA as a visual analytics tool for the refinement of risk stratification of cancer patients and biomarker discovery. Currently, tools for the joint analysis of multiple biological and clinical information in this field are…
View article: DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data
DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data Open
Clinical decision-making in cancer and other diseases relies on timely and cost-effective genome-wide testing. Classical bioinformatic algorithms, such as Rawcopy, can support genomic analysis by calling genomic breakpoints and copy-number…
View article: Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data Open
Diagnosis and risk stratification of cancer and many other diseases require the detection of genomic breakpoints as a prerequisite of calling copy number alterations (CNA). This, however, is still challenging and requires time-consuming ma…
View article: Proteomics and transcriptomics of peripheral nerve tissue and cells unravel new aspects of the human Schwann cell repair phenotype
Proteomics and transcriptomics of peripheral nerve tissue and cells unravel new aspects of the human Schwann cell repair phenotype Open
The remarkable feature of Schwann cells (SCs) to transform into a repair phenotype turned the spotlight on this powerful cell type. SCs provide the regenerative environment for axonal re-growth after peripheral nerve injury (PNI) and play …
View article: EWS‐FLI1 impairs aryl hydrocarbon receptor activation by blocking tryptophan breakdown via the kynurenine pathway
EWS‐FLI1 impairs aryl hydrocarbon receptor activation by blocking tryptophan breakdown via the kynurenine pathway Open
Ewing sarcoma ( ES ) is an aggressive pediatric tumor driven by the fusion protein EWS ‐ FLI 1. We report that EWS ‐ FLI 1 suppresses TDO 2‐mediated tryptophan (TRP) breakdown in ES cells. Gene expression and metabolite analyses reveal an …
View article: Metronomic topotecan impedes tumor growth of<i>MYCN</i>-amplified neuroblastoma cells<i>in vitro</i>and<i>in vivo</i>by therapy induced senescence
Metronomic topotecan impedes tumor growth of<i>MYCN</i>-amplified neuroblastoma cells<i>in vitro</i>and<i>in vivo</i>by therapy induced senescence Open
Poor prognosis and frequent relapses are major challenges for patients with high-risk neuroblastoma (NB), especially when tumors show MYCN amplification. High-dose chemotherapy triggers apoptosis, necrosis and senescence, a cellular stress…