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1
Ising energy model for the stochastic prediction of tumor islets

von Amoudruz, Lucas ; Buti, Gregory ; Rivetti, Luciano ; et al.

Schlagworte: Medical Physics; Computational Physics; Quantitative Methods
- View full text via Arxiv
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2
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game

von Bhandary, Shrajan ; Kuhn, Dejan ; Babaiee, Zahra ; et al.

Schlagworte: Electrical Engineering and Systems Science - Image and Video Processing; Computer Science - Computer Vision and Pattern Recognition
- View full text via Arxiv
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3
Periodic intrafraction image-guided focal dose-escalated stereotactic body radiotherapy for prostate carcinoma on a standard linear accelerator

von Marco Serpa ; Rolf Wiehle ; Thomas Rothe ; et al.

Physics and Imaging in Radiation Oncology, Vol 38, Iss , Pp 100951- (2026)

Schlagworte: Prostate carcinoma (PCa); Stereotactic body radiation therapy (SBRT); Focal boosting; Intrafraction motion; Medical physics. Medical radiology. Nuclear medicine; R895-920; Neoplasms. Tumors. Oncology. Including cancer and carcinogens; RC254-282
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4
PSA persistence in the PSMA PET era: reassessing a risk factor after radical prostatectomy

von Scharl, Sophia ; Thamm, Reinhard ; Zamboglou, Constantinos ; et al.

In Radiotherapy and Oncology September 2026 222
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5
Salvage Lymph Node Dissection for Nodal Recurrent Prostate Cancer—Oncological Outcome from Long-term Follow-up

von Himmelsbach, Ruth ; Spohn, Simon K.B. ; Grosu, Anca-Ligia ; et al.

In European Urology Focus March 2026 12(2):237-247
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6
Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [68Ga]Ga-PSMA-11 and [18F]PSMA-1007

von Waibel, Philipp Moritz Adrian ; Glavynskyi, Ievgen ; Fechter, Tobias ; et al.

European Journal of Nuclear Medicine and Molecular Imaging. 52(6):2023-2033
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7
ProBIOPSY: A Multidisciplinary International Consensus on Standards for Prostate Biopsy

von Chernysheva, Daria ; Di Bello, Francesco ; Avesani, Giulio ; et al.

In European Urology June 2026
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8
Safety and quality of life of PSMA-PET- and MRI-based focal dose escalated radiotherapy for intermediate- and high-risk prostate cancer: Primary endpoint analysis of the bi-centric phase II HypoFocal trial (ARO2020-01)

von Spohn, Simon K.B. ; Zamboglou, Constantinos ; Bürkle, Sophia L. ; et al.

In Radiotherapy and Oncology July 2025 208
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9
A prescription‐free, radiobiology‐based framework for automated VMAT planning: a feasibility study in primary prostate cancer radiotherapy

von Kuhn, Dejan ; Spohn, Simon ; Zamboglou, Constantinos ; et al.

Medical physics. - 53, 3 (2026) , e70347, ISSN: 2473-4209
- View full text via BASE
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10
A prospective study of immune responses in patients with lung metastases treated with stereotactic body radiotherapy with or without concurrent systemic treatment

von Gkika, Eleni ; Firat, Elke ; Adebahr, Sonja ; et al.

In Radiotherapy and Oncology June 2025 207
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11
Refining prognostic stratification in salvage radiotherapy for prostate cancer: a retrospective multicenter cohort study using PSMA-PET and machine learning

von Medici, Federica ; Aebersold, Daniel M. ; Casuscelli, Jozefina ; et al.

In Radiotherapy and Oncology November 2025 212
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12
Impact of PSMA PET on Radiation Oncology Planning

von Spohn, Simon K.B. ; Grosu, Anca-L.

In Seminars in Nuclear Medicine September 2025 55(5):664-671
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13
Digital pathology biomarkers for guiding radiotherapy-based treatment concepts in prostate cancer − a systematic review and expert consensus

von Zamboglou, Constantinos ; Doncker, William De ; Christoforou, Andreas Thomas ; et al.

In Radiotherapy and Oncology September 2025 210
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14
Sparse Reconstruction of Aliased Seismic Signals Recorded During the Insight Mars Mission

von Sollberger, David ; Schmelzbach, Cedric ; Andersson, Fredrik ; et al.

2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 IEEE 8th International Workshop on. :376-380 Dec, 2019
- Zum Volltext in IEEE Xplore
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15
Implementation of PET/CT in radiation oncology—a patterns-of-care analysis of the German Society of Nuclear Medicine and the German Society of Radiation Oncology

von Wegen, Simone ; Nestle, Ursula ; Zamboglou, Constantinos ; et al.

Strahlentherapie und Onkologie: Journal of Radiation Oncology, Biology, Physics. 200(11):931-941
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16
Whole pelvis vs. hemi pelvis elective nodal radiotherapy in patients with PSMA-positive nodal recurrence after radical prostatectomy - a retrospective multi-institutional propensity score analysis

von Trapp, Christian ; Aebersold, Daniel M. ; Belka, Claus ; et al.

European Journal of Nuclear Medicine and Molecular Imaging. 51(12):3770-3781
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17
TNTox – Outcome und Toxizität nach totaler neoadjuvanter Therapie beim Rektumkarzinom

von Wurschi, Georg ; Mäurer, Matthias ; Aninditha, Kynann Putra ; et al.

Forum: Das offizielle Magazin der Deutschen Krebsgesellschaft e.V.. 39(4):304-307
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18
Better Oncological Outcomes After Prostate-specific Membrane Antigen Positron Emission Tomography–guided Salvage Radiotherapy Following Prostatectomy

von Zamboglou, Constantinos ; Staus, Paulina ; Wolkewitz, Martin ; et al.

In European Urology Focus March 2025 11(2):242-250
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19
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- Zur Referenz in Web of Science
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20
Prostate-specific antigen kinetics after stereotactic body radiotherapy for localized prostate cancer: A scoping review and meta-analysis

von Dejonckheere, Cas Stefaan ; Caglayan, Lara ; Glasmacher, Andrea Renate ; et al.

In Radiotherapy and Oncology January 2025 202
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21
Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer

von Kostyszyn, Dejan ; Fechter, Tobias ; Bartl, Nico ; et al.

Schlagworte: Computer Science - Computer Vision and Pattern Recognition; Electrical Engineering and Systems Science - Image and Video Processing; Physics - Medical Physics
- View full text via Arxiv
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22
A student trained convolutional neural network competing with a commercial AI software and experts in organ at risk segmentation

von Sophia L. Bürkle ; Dejan Kuhn ; Tobias Fechter ; et al.

Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)

Schlagworte: Prostate cancer; Radiation treatment planning; Auto segmentation; Convolutional neural network; Artificial intelligence; Turing test; Medicine; Science
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23
The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET

von Julius C. Holzschuh ; Michael Mix ; Martin T. Freitag ; et al.

Radiation Oncology, Vol 19, Iss 1, Pp 1-8 (2024)

Schlagworte: Medical physics. Medical radiology. Nuclear medicine; R895-920; Neoplasms. Tumors. Oncology. Including cancer and carcinogens; RC254-282
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24
European association of urology risk stratification predicts outcome in patients receiving PSMA-PET-planned salvage radiotherapy for biochemical recurrence following radical prostatectomy

von Scharl, Sophia ; Zamboglou, Constantinos ; Strouthos, Iosif ; et al.

In Radiotherapy and Oncology May 2024 194
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25
Diagnostic leukapheresis reveals distinct phenotypes of NSCLC circulating tumor cells

von Lisa-Marie Rieckmann ; Michael Spohn ; Lisa Ruff ; et al.

Molecular Cancer, Vol 23, Iss 1, Pp 1-9 (2024)

Schlagworte: Circulating tumor cells; Non-small cell lung cancer; Single cell RNA sequencing; Intratumor heterogeneity; Neoplasms. Tumors. Oncology. Including cancer and carcinogens; RC254-282
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