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Author

Daniel Thill

Observed names: D. Thill, Dan Thill
Institution: Elekta (Sweden)
ORCID: 0000-0002-5647-8527
Observed ORCID: 0000-0002-5647-8527
OpenAlex ID: A5083861903
General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis
2022 · Asma Amjad, Jiaofeng Xu, et al. · Medical Physics · 39
Automatic Contour Refinement for Deep Learning Auto-segmentation of Complex Organs in MRI-guided Adaptive Radiation Therapy
2022 · Jie Ding, Ying Zhang, et al. · Advances in Radiation Oncology · 27
Investigation of autosegmentation techniques on T2‐weighted MRI for off‐line dose reconstruction in MR‐linac workflow for head and neck cancers
2023 · Brigid A. McDonald, Carlos E. Cardenas, et al. · Medical Physics · 15
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Evaluating AI-generated CBCT-based synthetic CT images for target delineation in palliative treatments of pelvic bone metastasis at conventional C-arm linacs
2024 · Nienke Hoffmans-Holtzer, Alba Magallon-Baro, et al. · Radiotherapy and Oncology · 12
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Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs
2023 · Asma Amjad, Jiaofeng Xu, et al. · Frontiers in Oncology · 9
Quality assurance assessment of intra‐acquisition diffusion‐weighted and T2‐weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy
2022 · Mohamed A. Naser, Kareem A. Wahid, et al. · Medical Physics · 6
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Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors
2023 · Ergun Ahunbay, Abdul K Parchur, et al. · Physics in Medicine and Biology · 5
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Deep Learning Auto-Segmentation on Multi-Sequence MRI for MR-Guided Adaptive Radiation Therapy
2021 · A. Amjad, J. Xu, et al. · International Journal of Radiation Oncology*Biology*Physics · 5
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Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy
2022 · Kareem A. Wahid, Jiaofeng Xu, et al. · Frontiers in Oncology · 4
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Deep Learning-based Auto-segmentation on CT and MRI for Abdominal Structures
2020 · A. Amjad, J. Xu, et al. · International Journal of Radiation Oncology*Biology*Physics · 4
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A method for sensitivity analysis of automatic contouring algorithms across different contrast weightings using synthetic magnetic resonance imaging
2025 · Lucas McCullum, Zayne Belal, et al. · Physics and Imaging in Radiation Oncology · 2
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Comparison of Enhanced Cone-Beam CT Using Next Generation Reconstruction with Deep Learning-Based Synthetic CT for Adaptive Radiotherapy in Pelvic Cancers
2024 · S. Anbumani, E.S. Paulson, et al. · International Journal of Radiation Oncology*Biology*Physics · 1
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Deep Learning Based Synthetic CT Images Generated from Cone-Beam CT Using CycleGAN Model for Thoracic Cancer Adaptive Radiotherapy
2024 · S. Anbumani, E.S. Paulson, et al. · International Journal of Radiation Oncology*Biology*Physics · 1
An MRI-Based Global Deep Learning Auto-Segmentation Model for Abdominal Organs
2022 · A. Amjad, J. Xu, et al. · International Journal of Radiation Oncology*Biology*Physics · 1
Automatic Contour Refinement of Inaccurate Auto-Segmentation Using an Active Contour Model for MR-Guided Adaptive Radiotherapy
2022 · J. Ding, Y. Zhang, et al. · International Journal of Radiation Oncology*Biology*Physics · 1
A Novel Method Combining Global and Local Assessments to Evaluate CBCT-Based Synthetic CTs
2022 · Chelsea Sargeant, Andrew Green, et al. · Lecture notes in computer science · 1
Evaluation of a Deep Learning-Based Auto-Segmentation Tool for Online Adaptive Radiation Therapy
2019 · A. Amjad, D. Thill, et al. · International Journal of Radiation Oncology*Biology*Physics · 1
Auto-segmentation and dose accuracy evaluation of synthetic computed tomography generated from pelvis cone-beam computed tomography images using a cycle-generative adversarial network with a novel loss function
2026 · Silambarasan Anbumani, Andrew Keeler, et al. · Physics and Imaging in Radiation Oncology
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Artifact Suppression and Soft-Tissue Enhancement in Synthetic CT for Thorax CBCT Images Using an Enhanced CycleGAN Model with Expanded Receptive Field
2025 · S. Anbumani, E.S. Paulson, et al. · International Journal of Radiation Oncology*Biology*Physics
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4440 High quality CBCT images for online adaptive radiotherapy for c-arm linacs
2025 · Eenas A. Omari, Silambarasan Anbumani, et al. · Radiotherapy and Oncology
Quantitative Assessment of Geometric Distortions in MRI-Linac Sequences for Enhanced Radiotherapy Planning
2024 · Zaphanlene Kaffey, Sam Mulder, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Feasibility of an Online MR-Guided Scan-Plan-Treat Workflow for Emergency Palliation
2024 · E.S. Paulson, X. Chen, et al. · International Journal of Radiation Oncology*Biology*Physics
On the Development of a Robust Deep Learning Synthetic CT Generation Method for MR-Guided Adaptive Radiation Therapy of Abdominal Tumors
2021 · E.E. Ahunbay, J. Xu, et al. · International Journal of Radiation Oncology*Biology*Physics
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Guided Deep Learning Auto-Correction of Suboptimal Auto-Segmentation of Complex Structures for MRI-Guided Adaptive Radiotherapy
2021 · J. Ding, Y. Zhang, et al. · International Journal of Radiation Oncology*Biology*Physics
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Works count: 24
Citation count: 134
H-index: 6
I10-index: 4
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