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25 Einträge gefunden

Clinical and molecular characterization of isolated M1 disease in pediatric medulloblastoma: experience from the German HIT-MED studies
2022 - Forschungsinformationssystem des UKE - frei zugänglich
Comprehensive profiling of myxopapillary ependymomas identifies a distinct molecular subtype with relapsing disease
2022 - Forschungsinformationssystem des UKE
Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling
2022 - Forschungsinformationssystem des UKE
Cauda equina paragangliomas express HOXB13
2021 - Forschungsinformationssystem des UKE - frei zugänglich
Multi-scale input strategies for medulloblastoma tumor classification using deep transfer learning
2021 - TUHH Open Research - frei zugänglich
Atypical teratoid/rhabdoid tumors (ATRTs) with SMARCA4 mutation are molecularly distinct from SMARCB1-deficient cases
2021 - Forschungsinformationssystem des UKE - frei zugänglich
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets
2021 - Forschungsinformationssystem des UKE
DIMEimmune: Robust estimation of infiltrating lymphocytes in CNS tumors from DNA methylation profiles
2021 - Forschungsinformationssystem des UKE - frei zugänglich
Morphological and molecular breast cancer profiling through explainable machine learning
2021 - Forschungsinformationssystem des UKE
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets
2021 - TUHH Open Research
Glioma escape signature and clonal development under immune pressure
2020 - Forschungsinformationssystem des UKE
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
2020 - Forschungsinformationssystem des UKE
Multiclass cancer classification in fresh frozen and formalin-fixed paraffin-embedded tissue by DigiWest multiplex protein analysis
2020 - Forschungsinformationssystem des UKE
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images
2020 - Forschungsinformationssystem des UKE
Proteogenomic systems analysis identifies targeted therapy resistance mechanisms in EGFR-mutated lung cancer
2019 - Forschungsinformationssystem des UKE
Immunologic Profiling of Mutational and Transcriptional Subgroups in Pediatric and Adult High-Grade Gliomas
2019 - Forschungsinformationssystem des UKE
TCF4 (E2-2) harbors tumor suppressive functions in SHH medulloblastoma
2019 - Forschungsinformationssystem des UKE
Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases
2019 - Forschungsinformationssystem des UKE
Immunhistochemische Analyse von Bcl-2, nukleärem S100A4, MITF und Ki67 zur Risikostratifizierung von Melanomen im Frühstadium - ein kombinierter immunhistochemischer Score
2019 - Forschungsinformationssystem des UKE
Immunohistochemical analysis of Bcl-2, nuclear S100A4, MITF and Ki67 for risk stratification of early-stage melanoma - A combined IHC score for melanoma risk stratification
2019 - Forschungsinformationssystem des UKE

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Clinical and molecular characterization of isolated M1 disease in pediatric medulloblastoma: experience from the German HIT-MED studies

Comprehensive profiling of myxopapillary ependymomas identifies a distinct molecular subtype with relapsing disease

Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling

Cauda equina paragangliomas express HOXB13

Multi-scale input strategies for medulloblastoma tumor classification using deep transfer learning

Atypical teratoid/rhabdoid tumors (ATRTs) with SMARCA4 mutation are molecularly distinct from SMARCB1-deficient cases

Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets

DIMEimmune: Robust estimation of infiltrating lymphocytes in CNS tumors from DNA methylation profiles

Morphological and molecular breast cancer profiling through explainable machine learning

Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets

Glioma escape signature and clonal development under immune pressure

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

Multiclass cancer classification in fresh frozen and formalin-fixed paraffin-embedded tissue by DigiWest multiplex protein analysis

Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images

Proteogenomic systems analysis identifies targeted therapy resistance mechanisms in EGFR-mutated lung cancer

Immunologic Profiling of Mutational and Transcriptional Subgroups in Pediatric and Adult High-Grade Gliomas

TCF4 (E2-2) harbors tumor suppressive functions in SHH medulloblastoma

Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases

Immunhistochemische Analyse von Bcl-2, nukleärem S100A4, MITF und Ki67 zur Risikostratifizierung von Melanomen im Frühstadium - ein kombinierter immunhistochemischer Score

Immunohistochemical analysis of Bcl-2, nuclear S100A4, MITF and Ki67 for risk stratification of early-stage melanoma - A combined IHC score for melanoma risk stratification