日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Deep Learning-Based CT-Less Cardiac Segmentation of PET Images: A Robust Methodology for Multi-Tracer Nuclear Cardiovascular Imaging

基于深度学习的无CT PET图像心脏分割:一种用于多示踪剂核心血管成像的稳健方法

Salimi, Yazdan; Mansouri, Zahra; Nkoulou, René; Mainta, Ismini; Zaidi, Habib

Frequency and Clinical Outcomes Associated With Tau Positron Emission Tomography Positivity

与tau蛋白正电子发射断层扫描阳性相关的频率和临床结果

Moscoso, Alexis; Heeman, Fiona; Raghavan, Sheelakumari; Costoya-Sánchez, Alejandro; van Essen, Martijn; Mainta, Ismini; Camacho, Valle; Rodríguez-Fonseca, Omar; Silva-Rodríguez, Jesús; Perissinotti, Andrés; Gu, Yuna; Yun, Jihwan; Peretti, Debora; Ribaldi, Federica; Coomans, Emma M; Brum, Wagner S; Grothe, Michel J; Aguiar, Pablo; Bischof, Gérard N; Drzezga, Alexander; Seo, Sang Won; Villeneuve, Sylvia; Malpetti, Maura; O'Brien, John T; Rowe, James B; van de Giessen, Elsmarieke M; Ossenkoppele, Rik; Jagust, William J; Smith, Ruben; Hansson, Oskar; Frisoni, Giovanni B; Garibotto, Valentina; Soleimani-Meigooni, David N; Carrillo, Maria; Dickerson, Bradford C; La Joie, Renaud; Rabinovici, Gil D; Apostolova, Liana G; LaMontagne, Pamela J; Pontecorvo, Michael J; Johnson, Keith A; Sperling, Reisa A; Weiner, Michael W; Petersen, Ronald C; Jack, Clifford R Jr; Vemuri, Prashanthi; Schöll, Michael

Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study

基于人工智能的闪烁显像心脏转甲状腺素蛋白淀粉样变性检测和评分:多示踪剂、多扫描仪和多中心开发与评估研究

Salimi, Yazdan; Shiri, Isaac; Mansouri, Zahra; Sanaat, Amirhossein; Hajianfar, Ghasem; Hervier, Elsa; Bitarafan, Ahmad; Caobelli, Federico; Hundertmark, Moritz; Mainta, Ismini; Gräni, Christoph; Nkoulou, René; Zaidi, Habib

CT-free attenuation and Monte-Carlo based scatter correction-guided quantitative (90)Y-SPECT imaging for improved dose calculation using deep learning

基于深度学习的无CT衰减和蒙特卡罗散射校正引导的定量(90)Y-SPECT成像,用于改进剂量计算

Mansouri, Zahra; Salimi, Yazdan; Wolf, Nicola Bianchetto; Mainta, Ismini; Zaidi, Habib

Development of a novel prognostic score for 1-year survival in immunotherapy-treated patients with unresectable HCC: the ALIVE-IO score

针对接受免疫治疗的不可切除肝细胞癌患者,开发一种新的1年生存预后评分:ALIVE-IO评分

Pantzios, Spyridon; Sidiropoulos, Orestis; Syriha, Antonia; Ptohis, Nikolaos; Skouras, Ioannis; Mainta, Evgenia; Korkolis, Dimitris P; Machairas, Nikolaos; Sotiropoulos, Georgios C; Elefsiniotis, Ioannis

Case Report: Pituitary metastasis from prostate adenocarcinoma: an integrated diagnosis via (68)Ga-PSMA PET/CT and methylome analysis

病例报告:前列腺腺癌垂体转移:基于 (68)Ga-PSMA PET/CT 和甲基化组分析的综合诊断

Bianchetto Wolf, N; Mainta, I C; Fitsiori, A; Colarusso, G; Tsantoulis, P; Egervari, K L; Garibotto, V

Potential of Radiomics, Dosiomics, and Dose Volume Histograms for Tumor Response Prediction in Hepatocellular Carcinoma following (90)Y-SIRT

放射组学、剂量组学和剂量体积直方图在肝细胞癌接受 (90)Y-SIRT 治疗后肿瘤反应预测中的应用潜力

Mansouri, Zahra; Salimi, Yazdan; Hajianfar, Ghasem; Knappe, Luisa; Wolf, Nicola Bianchetto; Xhepa, Genti; Gleyzolle, Adrien; Ricoeur, Alexis; Garibotto, Valentina; Mainta, Ismini; Zaidi, Habib

Deep Learning-Powered CT-Less Multitracer Organ Segmentation From PET Images: A Solution for Unreliable CT Segmentation in PET/CT Imaging

基于深度学习的无CT多示踪剂PET图像器官分割:解决PET/CT成像中CT分割不可靠的问题

Salimi, Yazdan; Mansouri, Zahra; Shiri, Isaac; Mainta, Ismini; Zaidi, Habib

Imaging Efficacy of [(18)F]CTT1057 PET/CT in Patients with Biochemically Recurrent Prostate Cancer: Results from GuidePath-A Phase 3, Prospective Multicenter Study

[(18)F]CTT1057 PET/CT 在生化复发性前列腺癌患者中的成像疗效:来自 GuidePath-A III 期前瞻性多中心研究的结果

Fanti, Stefano; Robles Barba, Javier Jesus; Behr, Spencer; Maurer, Tobias; Paredes, Pilar; Walz, Jochen; Duch, Joan; Perdigo, Marc Simo; Mainta, Ismini Charis; Bonnefoy, Pierre Benoit; Coulanges, Medge; Tang, Jun; Seigne, Christelle; Wilke, Celine; Catafau, Ana M; Iagaru, Andrei; Aggarwal, Rahul

The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized (90)Y glass microspheres SIRT: a preliminary machine learning study

生物标志物和剂量学参数在接受个性化 (90)Y 玻璃微球 SIRT 治疗的患者总生存期和无进展生存期预测中的作用:一项初步的机器学习研究

Mansouri, Zahra; Salimi, Yazdan; Hajianfar, Ghasem; Wolf, Nicola Bianchetto; Knappe, Luisa; Xhepa, Genti; Gleyzolle, Adrien; Ricoeur, Alexis; Garibotto, Valentina; Mainta, Ismini; Zaidi, Habib