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Nader Aldoj

Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network
2019 · Nader Aldoj, Steffen Lukas, et al. · European Radiology · 151
Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net
2020 · Nader Aldoj, Federico Biavati, et al. · Scientific Reports · 145
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In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer
2020 · Patrick Asbach, Sa-Ra Ro, et al. · Investigative Radiology · 41
Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
2022 · Nader Aldoj, Federico Biavati, et al. · Scientific Reports · 7
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Vertrauen in KI-basierte Radiologie – Erste Erkenntnisse durch eine explorative Stakeholder-Konsultation
2021 · Martin Gersch, Christian Meske, et al. · Forum Dienstleistungsmanagement · 2
Automatic prostate and prostate zones segmentation of magnetic resonance images using convolutional neural networks
2019 · Nader Aldoj, Federico Biavati, et al. · 1
LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology
2026 · Eich, Marie-Lisa, Standvoss, Kai, et al. · arXiv (Cornell University)
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AI-powered analysis of the tumor immune microenvironment in lung squamous cell carcinomas with and without neoadjuvant therapy.
2025 · Rosemarie Krupar, Katja Lingelbach, et al. · Journal of Clinical Oncology
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1200 Artificial intelligence image models optimizing tumor vs immune cell profiling for accurate biomarker analysis in NSCLC precision drug development
2024 · Cornelius Boehm, Laura Schlieker, et al. · Journal for ImmunoTherapy of Cancer
1276 Leveraging artificial intelligence (AI) models delineating tumor vs immune cell expression for scalable biomarker analysis of clinical trial samples: a digital image analysis approach for NSCLC
2023 · Cornelius Böhm, Katja Lingelbach, et al. · Journal for ImmunoTherapy of Cancer
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Works count: 13
Citation count: 347
H-index: 4
I10-index: 3
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