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Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry|May 8, 2002
Parameters important in fabricating enzyme electrodes using self-assembled monolayers of alkanethiolsJ J Gooding, P Erokhin, D Losic, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|June 5, 2019
Reliable identification of prostate cancer using mass spectrometry metabolomic imaging in needle core biopsiesNicole Morse, Tamara Jamaspishvili, David Simon, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|January 18, 2018
Use of multicolor fluorescence in situ hybridization to detect deletions in clinical tissue sectionsMaisa Yoshimoto, Olga Ludkovski, Jennifer Good, et al.
European Journal of Radiology|March 25, 2018
Pulmonary nodules: Assessing the imaging biomarkers of malignancy in a "coffee-break"A Talwar, J M Y Willaime, L C Pickup, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|March 10, 2018
Correction to: Use of multicolor fluorescence in situ hybridization to detect deletions in clinical tissue sectionsMaisa Yoshimoto, Olga Ludkovski, Jennifer Good, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
External validation of deep learning-based contouring of head and neck organs at riskEllen J L Brunenberg, Isabell K Steinseifer, Sven van den Bosch, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 26, 2024
Is full-automation in radiotherapy treatment planning ready for take off?Dylan Callens, Ciaran Malone, Antony Carver, et al.
Nanoscale|August 10, 2018
Synthesis, optical properties and theoretical modelling of discrete emitting states in doped silicon nanocrystals for bioimagingB F P McVey, D König, X Cheng, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|October 27, 2019
Improving automatic delineation for head and neck organs at risk by Deep Learning ContouringLisanne V van Dijk, Lisa Van den Bosch, Paul Aljabar, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|April 14, 2023
Quantitative Nuclear Grading: An Objective, Artificial Intelligence-Facilitated Foundation for Grading Noninvasive Papillary Urothelial CarcinomaAva Slotman, Minqi Xu, Katherine Lindale, et al.
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