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References from Deep learning prediction of radiation-induced xerostomia and personalized outcome-driven treatment planning in head and neck cancer. Local targets link to admitted publications; unresolved targets remain external evidence.
TotalSegmentator MRI: robust sequence-independent segmentation of multiple anatomic structures in MRI
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A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced brain tumor detection and classification scheme in medical image processing
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Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features
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RayStation: external beam treatment planning system
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Minimal variance model aggregation: a principled, non-intrusive, and versatile integration of black box models
2025 · External reference
MONAI: an open-source framework for deep learning in healthcare
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Parotid voxel dose analysis with machine learning toward xerostomia prediction in head and neck cancer irradiation
10.1016/j.ijrobp.2024.07.1624 · 2024 · External reference
Grad-CAM++: generalized gradient-based visual explanations for deep convolutional networks
2018 · External reference
Classification of pancreatic tumors based on MRI Images using 3D convolutional neural networks
2018 · External reference
Three-dimensional deep learning normal tissue complication probability model to predict late xerostomia in patients with head and neck cancer
10.1016/j.ijrobp.2024.07.2334 · 2025 · External reference
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Validated prediction of xerostomia in a real-world population: a step toward model-guided radiotherapy
10.2340/1651-226x.2025.43462 · 2025 · External reference
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2017 · External reference
Groupwise registration with global-local graph shrinkage in atlas construction
10.1016/j.media.2020.101711 · 2020 · External reference
Spatial radiation dose influence on xerostomia recovery and its comparison to acute incidence in patients with head and neck cancer
10.1016/j.adro.2019.08.009 · 2020 · External reference
MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data
10.1007/s11548-022-02625-z · 2022 · External reference
Dose/volume histogram patterns in salivary gland subvolumes influence xerostomia injury and recovery
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2016 · External reference
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10.1016/j.ijrobp.2009.07.1685 · 2010 · External reference
A self-attention-guided 3D deep residual network with big transfer to predict local failure in brain metastasis after radiotherapy using multi-channel MRI
10.1109/jtehm.2022.3219625 · 2023 · External reference
Machine learning methods uncover radiomorphologic dose patterns in salivary glands that predict xerostomia in patients with head and neck cancer
10.1016/j.adro.2018.11.008 · 2019 · External reference
Predicting treatment response from longitudinal images using multi-task deep learning
10.1038/s41467-021-22188-y · 2021 · External reference
Late-xerostomia prediction model based on 18 F-FDG PET image biomarkers of the main salivary glands
10.1016/j.radonc.2024.110319 · 2024 · External reference
Development and validation of a 3D resnet model for prediction of lymph node metastasis in head and neck cancer patients
10.1007/s10278-023-00938-2 · 2024 · External reference
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2019 · External reference
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2019 · External reference
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10.1016/j.eswa.2025.130174 · 2026 · External reference
Dose–volume toxicity modeling for de-intensified chemo-radiation therapy for HPV-positive oropharynx cancer
10.1016/j.radonc.2017.06.020 · 2017 · External reference
A deep learning model for predicting xerostomia due to radiation therapy for head and neck squamous cell carcinoma in the RTOG 0522 clinical trial
10.1016/j.ijrobp.2019.06.009 · 2019 · External reference
Texture analysis as a predictor of radiation-induced xerostomia in head and neck patients undergoing IMRT
10.1007/s11547-017-0850-7 · 2018 · External reference
A computer-aided detection system for the detection of lung nodules based on 3D-ResNet
10.3390/app9245544 · 2019 · External reference
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10.25080/gerudo-f2bc6f59-00d · 2023 · External reference
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2019 · External reference
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Quantitative dose-volume response analysis of changes in parotid gland function after radiotherapy in the head-and-neck region
10.1016/s0360-3016(01)01717-5 · 2001 · External reference
Grad-CAM: visual explanations from deep networks via gradient-based localization
10.1109/iccv.2017.74 · 2017 · External reference
Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands
10.1186/s13014-019-1339-4 · 2019 · External reference
From discrete to continuous convolution layers
2020 · External reference
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2015 · External reference
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2017 · External reference
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2017 · External reference
EfficientNet: rethinking model scaling for convolutional neural networks
2019 · External reference
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Comprehensive toxicity risk profiling in radiation therapy for head and neck cancer: a new concept for individually optimised treatment
10.1016/j.radonc.2021.01.024 · 2021 · External reference
Deep learning prediction of radiation-induced xerostomia with supervised contrastive pre-training and cluster-guided loss
10.1117/12.3004498 · 2024 · External reference
Deep learning xerostomia prediction model with anatomy normalization and high-resolution class activation map
10.1117/12.3046796 · 2025 · External reference
Relation knowledge distillation 3D-ResNet-based deep learning for breast cancer molecular subtypes prediction on ultrasound videos: a multicenter study
10.1038/s41416-025-03146-7 · 2025 · External reference
Making convolutional networks shift-invariant again
External reference
Malignant pleural mesothelioma classification and survival prediction with CT imaging using ResNet
10.1007/s00330-025-12094-y · 2026 · External reference
Regularization and variable selection via the elastic net
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