233 related articles for article (PubMed ID: 34463809)
1. Analytical performance of aPROMISE: automated anatomic contextualization, detection, and quantification of [
Johnsson K; Brynolfsson J; Sahlstedt H; Nickols NG; Rettig M; Probst S; Morris MJ; Bjartell A; Eiber M; Anand A
Eur J Nucl Med Mol Imaging; 2022 Feb; 49(3):1041-1051. PubMed ID: 34463809
[TBL] [Abstract][Full Text] [Related]
2. aPROMISE: A Novel Automated PROMISE Platform to Standardize Evaluation of Tumor Burden in
Nickols N; Anand A; Johnsson K; Brynolfsson J; Borreli P; Parikh N; Juarez J; Jafari L; Eiber M; Rettig M
J Nucl Med; 2022 Feb; 63(2):233-239. PubMed ID: 34049980
[TBL] [Abstract][Full Text] [Related]
3. PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images.
Klyuzhin IS; Chaussé G; Bloise I; Harsini S; Ferres JL; Uribe C; Rahmim A
Med Phys; 2024 Feb; 51(2):1203-1216. PubMed ID: 37544015
[TBL] [Abstract][Full Text] [Related]
4. More advantages in detecting bone and soft tissue metastases from prostate cancer using
Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
[TBL] [Abstract][Full Text] [Related]
5. Analytical performance validation of aPROMISE platform for prostate tumor burden, index and dominant tumor assessment with 18F-DCFPyL PET/CT. A pilot study.
García Vicente AM; Lucas Lucas C; Pérez-Beteta J; Borrelli P; García Zoghby L; Amo-Salas M; Soriano Castrejón ÁM
Sci Rep; 2024 Feb; 14(1):3001. PubMed ID: 38321201
[TBL] [Abstract][Full Text] [Related]
6. Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Xu Y; Klyuzhin I; Harsini S; Ortiz A; Zhang S; Bénard F; Dodhia R; Uribe CF; Rahmim A; Lavista Ferres J
Comput Biol Med; 2023 May; 158():106882. PubMed ID: 37037147
[TBL] [Abstract][Full Text] [Related]
7. Automated segmentation of lesions and organs at risk on [
Yazdani E; Karamzadeh-Ziarati N; Cheshmi SS; Sadeghi M; Geramifar P; Vosoughi H; Jahromi MK; Kheradpisheh SR
Cancer Imaging; 2024 Feb; 24(1):30. PubMed ID: 38424612
[TBL] [Abstract][Full Text] [Related]
8. PSMA-PET improves deep learning-based automated CT kidney segmentation.
Leube J; Horn M; Hartrampf PE; Buck AK; Lassmann M; Tran-Gia J
Z Med Phys; 2024 May; 34(2):231-241. PubMed ID: 37666698
[TBL] [Abstract][Full Text] [Related]
9. Prospective Comparison of PET Imaging with PSMA-Targeted
Rowe SP; Li X; Trock BJ; Werner RA; Frey S; DiGianvittorio M; Bleiler JK; Reyes DK; Abdallah R; Pienta KJ; Gorin MA; Pomper MG
J Nucl Med; 2020 Feb; 61(2):183-188. PubMed ID: 31451492
[TBL] [Abstract][Full Text] [Related]
10. A convolutional neural network-based system for fully automatic segmentation of whole-body [
Jafari E; Zarei A; Dadgar H; Keshavarz A; Manafi-Farid R; Rostami H; Assadi M
Eur J Nucl Med Mol Imaging; 2024 Apr; 51(5):1476-1487. PubMed ID: 38095671
[TBL] [Abstract][Full Text] [Related]
11. Intraindividual Comparison of
Giesel FL; Will L; Lawal I; Lengana T; Kratochwil C; Vorster M; Neels O; Reyneke F; Haberkon U; Kopka K; Sathekge M
J Nucl Med; 2018 Jul; 59(7):1076-1080. PubMed ID: 29269569
[TBL] [Abstract][Full Text] [Related]
12. Deep learning-based quantification of PET/CT prostate gland uptake: association with overall survival.
Polymeri E; Sadik M; Kaboteh R; Borrelli P; Enqvist O; Ulén J; Ohlsson M; Trägårdh E; Poulsen MH; Simonsen JA; Hoilund-Carlsen PF; Johnsson ÅA; Edenbrandt L
Clin Physiol Funct Imaging; 2020 Mar; 40(2):106-113. PubMed ID: 31794112
[TBL] [Abstract][Full Text] [Related]
13. qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using
Gafita A; Bieth M; Krönke M; Tetteh G; Navarro F; Wang H; Günther E; Menze B; Weber WA; Eiber M
J Nucl Med; 2019 Sep; 60(9):1277-1283. PubMed ID: 30850484
[TBL] [Abstract][Full Text] [Related]
14. PSMA-Based [(18)F]DCFPyL PET/CT Is Superior to Conventional Imaging for Lesion Detection in Patients with Metastatic Prostate Cancer.
Rowe SP; Macura KJ; Mena E; Blackford AL; Nadal R; Antonarakis ES; Eisenberger M; Carducci M; Fan H; Dannals RF; Chen Y; Mease RC; Szabo Z; Pomper MG; Cho SY
Mol Imaging Biol; 2016 Jun; 18(3):411-9. PubMed ID: 27080322
[TBL] [Abstract][Full Text] [Related]
15. Fully automatic prognostic biomarker extraction from metastatic prostate lesion segmentations in whole-body [
Kendrick J; Francis RJ; Hassan GM; Rowshanfarzad P; Ong JSL; Ebert MA
Eur J Nucl Med Mol Imaging; 2022 Dec; 50(1):67-79. PubMed ID: 35976392
[TBL] [Abstract][Full Text] [Related]
16.
Wondergem M; van der Zant FM; Knol RJJ; Lazarenko SV; Pruim J; de Jong IJ
J Nucl Med; 2017 Nov; 58(11):1797-1804. PubMed ID: 28450569
[TBL] [Abstract][Full Text] [Related]
17. A Prospective Comparison of
Anttinen M; Ettala O; Malaspina S; Jambor I; Sandell M; Kajander S; Rinta-Kiikka I; Schildt J; Saukko E; Rautio P; Timonen KL; Matikainen T; Noponen T; Saunavaara J; Löyttyniemi E; Taimen P; Kemppainen J; Dean PB; Blanco Sequeiros R; Aronen HJ; Seppänen M; Boström PJ
Eur Urol Oncol; 2021 Aug; 4(4):635-644. PubMed ID: 32675047
[TBL] [Abstract][Full Text] [Related]
18. Comparison of [(18)F]DCFPyL and [ (68)Ga]Ga-PSMA-HBED-CC for PSMA-PET Imaging in Patients with Relapsed Prostate Cancer.
Dietlein M; Kobe C; Kuhnert G; Stockter S; Fischer T; Schomäcker K; Schmidt M; Dietlein F; Zlatopolskiy BD; Krapf P; Richarz R; Neubauer S; Drzezga A; Neumaier B
Mol Imaging Biol; 2015 Aug; 17(4):575-84. PubMed ID: 26013479
[TBL] [Abstract][Full Text] [Related]
19. Reliability and practicability of PSMA-RADS 1.0 for structured reporting of PSMA-PET/CT scans in prostate cancer patients.
Grawe F; Blom F; Winkelmann M; Burgard C; Schmid-Tannwald C; Unterrainer LM; Sheikh GT; Pfitzinger PL; Kazmierczak P; Cyran CC; Ricke J; Stief CG; Bartenstein P; Ruebenthaler J; Fabritius MP; Geyer T
Eur Radiol; 2024 Feb; 34(2):1157-1166. PubMed ID: 37624414
[TBL] [Abstract][Full Text] [Related]
20. Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT.
Leung KH; Rowe SP; Sadaghiani MS; Leal JP; Mena E; Choyke PL; Du Y; Pomper MG
J Nucl Med; 2024 Apr; 65(4):643-650. PubMed ID: 38423786
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
