Artificial Intelligence | Pathology Automated AI-based grading of neuroendocrine tumors using Ki-67 proliferation index: comparative evaluation and performance analysis. February 27, 2024
Nuclear Medicine | Radiology Development of an individual display optimization system based on deep convolutional neural network transition learning for somatostatin receptor scintigraphy. January 2, 2024
Oncology | Pathology Use of Novel Open-Source Deep Learning Platform for Quantification of Ki-67 in Neuroendocrine Tumors – Analytical Validation. December 11, 2023
Nuclear Medicine | Radiology Learning without Real Data Annotations to Detect Hepatic Lesions in PET Images. September 14, 2023
Oncology | Radiology The use of deep learning models to predict progression-free survival in patients with neuroendocrine tumors. July 27, 2023
Nuclear Medicine | Oncology | Radiology Location-Aware Encoding for Lesion Detection in Ga-DOTATATE Positron Emission Tomography Images. July 20, 2023
Nuclear Medicine | Oncology Clinical Pharmacokinetics of Radiopharmaceuticals from SPECT/CT Image Acquisition by Contouring in Patients with Gastroenteropancreatic Neuroendocrine Tumors: Lu-177 DOTATATE (Lutathera) Case. May 15, 2023
Nuclear Medicine | Oncology | Radiology The predictive value of pretherapy [Ga]Ga-DOTA-TATE PET and biomarkers in [Lu]Lu-PRRT tumor dosimetry. May 12, 2023
Nuclear Medicine | Oncology | Radiology 177Lu-DOTATATE Theranostics: Predicting Renal Dosimetry From Pretherapy 68Ga-DOTATATE PET and Clinical Biomarkers. April 3, 2023
Nuclear Medicine | Oncology | Radiology Differences in tumor-to-normal organ SUV ratios measured with 68Ga-DOTATATE PET compared with 177Lu-DOTATATE SPECT in patients with neuroendocrine tumors. June 15, 2022
Pathology Deep Learning Facilitates Distinguishing Histologic Subtypes of Pulmonary Neuroendocrine Tumors on Digital Whole-Slide Images. April 12, 2022
Oncology | Pathology Automated Assessment of Ki-67 Proliferation Index in Neuroendocrine Tumors by Deep Learning. November 6, 2021