Suchergebnis | Hamburg Open Science

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17 Einträge gefunden

Efficacy of zoledronic acid for the elimination of disseminated tumor cells in a clinically relevant, spontaneously metastatic prostate cancer xenograft model
2023 - Forschungsinformationssystem des UKE
Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators
2023 - Forschungsinformationssystem des UKE
Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies
2022 - Forschungsinformationssystem des UKE
Possible tumour cell reimplantation during curative endoscopic therapy of superficial Barrett's carcinoma
2022 - Forschungsinformationssystem des UKE
Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten
2022 - Forschungsinformationssystem des UKE - frei zugänglich
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
2021 - Forschungsinformationssystem des UKE - frei zugänglich
Digital Health meets Hamburg integrated medical degree program iMED:Concept and introduction of the new interdisciplinary 2nd track Digital Health
2020 - Forschungsinformationssystem des UKE
Künstliche Intelligenz in der Medizin
1. Werner, Rene
2. Schmitz, Rüdiger
2020 - Forschungsinformationssystem des UKE
Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven (reprint Z Gastroenterol 2019; 57(06): 767-780)
2020 - Forschungsinformationssystem des UKE
Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies
2020 - Forschungsinformationssystem des UKE
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
2020 - TUHH Open Research
Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven
2019 - Forschungsinformationssystem des UKE
Modeling Growth of Tumors and Their Spreading Behavior Using Mathematical Functions
2019 - Forschungsinformationssystem des UKE
Locally Ablative Radiation Therapy of a Primary Human Small Cell Lung Cancer Tumor Decreases the Number of Spontaneous Metastases in Two Xenograft Models
2018 - Forschungsinformationssystem des UKE
Virtual Endoscopy Based on 3-dimensional Reconstruction of Histopathology Features of Endoscopic Resection Specimens
2018 - Forschungsinformationssystem des UKE
Skin lesion diagnosis using ensembles, unscaled multi-crop evaluation and loss weighting
2018 - TUHH Open Research
Radiotherapy and chemotherapy change vessel tree geometry and metastatic spread in a small cell lung cancer xenograft mouse tumor model
2017 - Forschungsinformationssystem des UKE - frei zugänglich

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Efficacy of zoledronic acid for the elimination of disseminated tumor cells in a clinically relevant, spontaneously metastatic prostate cancer xenograft model

Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators

Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies

Possible tumour cell reimplantation during curative endoscopic therapy of superficial Barrett's carcinoma

Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten

Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture

Digital Health meets Hamburg integrated medical degree program iMED:Concept and introduction of the new interdisciplinary 2nd track Digital Health

Künstliche Intelligenz in der Medizin

Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven (reprint Z Gastroenterol 2019; 57(06): 767-780)

Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies

Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven

Modeling Growth of Tumors and Their Spreading Behavior Using Mathematical Functions

Locally Ablative Radiation Therapy of a Primary Human Small Cell Lung Cancer Tumor Decreases the Number of Spontaneous Metastases in Two Xenograft Models

Virtual Endoscopy Based on 3-dimensional Reconstruction of Histopathology Features of Endoscopic Resection Specimens

Skin lesion diagnosis using ensembles, unscaled multi-crop evaluation and loss weighting

Radiotherapy and chemotherapy change vessel tree geometry and metastatic spread in a small cell lung cancer xenograft mouse tumor model