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Deep learning based automated delineation of the intraprostatic gross tumour volume in PSMA-PET for patients with primary prostate cancer.
Holzschuh JC, Mix M, Ruf J, Hölscher T, Kotzerke J, Vrachimis A, Doolan P, Ilhan H, Marinescu IM, Spohn SKB, Fechter T, Kuhn D, Bronsert P, Gratzke C, Grosu R, Kamran SC, Heidari P, Ng TSC, Könik A, Grosu AL, Zamboglou C. Holzschuh JC, et al. Among authors: fechter t. Radiother Oncol. 2023 Nov;188:109774. doi: 10.1016/j.radonc.2023.109774. Epub 2023 Jun 30. Radiother Oncol. 2023. PMID: 37394103 Free PMC article.
Validation of different PSMA-PET/CT-based contouring techniques for intraprostatic tumor definition using histopathology as standard of reference.
Zamboglou C, Fassbender TF, Steffan L, Schiller F, Fechter T, Carles M, Kiefer S, Rischke HC, Reichel K, Schmidt-Hegemann NS, Ilhan H, Chirindel AF, Nicolas G, Henkenberens C, Derlin T, Bronsert P, Mavroidis P, Chen RC, Meyer PT, Ruf J, Grosu AL. Zamboglou C, et al. Among authors: fechter t. Radiother Oncol. 2019 Dec;141:208-213. doi: 10.1016/j.radonc.2019.07.002. Epub 2019 Aug 17. Radiother Oncol. 2019. PMID: 31431386
MRI versus ⁶⁸Ga-PSMA PET/CT for gross tumour volume delineation in radiation treatment planning of primary prostate cancer.
Zamboglou C, Wieser G, Hennies S, Rempel I, Kirste S, Soschynski M, Rischke HC, Fechter T, Jilg CA, Langer M, Meyer PT, Bock M, Grosu AL. Zamboglou C, et al. Among authors: fechter t. Eur J Nucl Med Mol Imaging. 2016 May;43(5):889-897. doi: 10.1007/s00259-015-3257-5. Epub 2015 Nov 23. Eur J Nucl Med Mol Imaging. 2016. PMID: 26592938
Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate- and high-risk prostate cancer - a comparison study with histology reference.
Zamboglou C, Carles M, Fechter T, Kiefer S, Reichel K, Fassbender TF, Bronsert P, Koeber G, Schilling O, Ruf J, Werner M, Jilg CA, Baltas D, Mix M, Grosu AL. Zamboglou C, et al. Among authors: fechter t. Theranostics. 2019 Apr 13;9(9):2595-2605. doi: 10.7150/thno.32376. eCollection 2019. Theranostics. 2019. PMID: 31131055 Free PMC article.
Intraprostatic Tumor Segmentation on PSMA PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network.
Kostyszyn D, Fechter T, Bartl N, Grosu AL, Gratzke C, Sigle A, Mix M, Ruf J, Fassbender TF, Kiefer S, Bettermann AS, Nicolay NH, Spohn S, Kramer MU, Bronsert P, Guo H, Qiu X, Wang F, Henkenberens C, Werner RA, Baltas D, Meyer PT, Derlin T, Chen M, Zamboglou C. Kostyszyn D, et al. Among authors: fechter t. J Nucl Med. 2021 Jun 1;62(6):823-828. doi: 10.2967/jnumed.120.254623. Epub 2020 Oct 30. J Nucl Med. 2021. PMID: 33127624 Free PMC article.
Radiomics in prostate cancer imaging for a personalized treatment approach - current aspects of methodology and a systematic review on validated studies.
Spohn SKB, Bettermann AS, Bamberg F, Benndorf M, Mix M, Nicolay NH, Fechter T, Hölscher T, Grosu R, Chiti A, Grosu AL, Zamboglou C. Spohn SKB, et al. Among authors: fechter t. Theranostics. 2021 Jul 6;11(16):8027-8042. doi: 10.7150/thno.61207. eCollection 2021. Theranostics. 2021. PMID: 34335978 Free PMC article. Review.
Investigation and benchmarking of U-Nets on prostate segmentation tasks.
Bhandary S, Kuhn D, Babaiee Z, Fechter T, Benndorf M, Zamboglou C, Grosu AL, Grosu R. Bhandary S, et al. Among authors: fechter t. Comput Med Imaging Graph. 2023 Jul;107:102241. doi: 10.1016/j.compmedimag.2023.102241. Epub 2023 May 12. Comput Med Imaging Graph. 2023. PMID: 37201475 Free article. Review.
18F-FMISO-PET Hypoxia Monitoring for Head-and-Neck Cancer Patients: Radiomics Analyses Predict the Outcome of Chemo-Radiotherapy.
Carles M, Fechter T, Grosu AL, Sörensen A, Thomann B, Stoian RG, Wiedenmann N, Rühle A, Zamboglou C, Ruf J, Martí-Bonmatí L, Baltas D, Mix M, Nicolay NH. Carles M, et al. Among authors: fechter t. Cancers (Basel). 2021 Jul 9;13(14):3449. doi: 10.3390/cancers13143449. Cancers (Basel). 2021. PMID: 34298663 Free PMC article.
41 results