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J Gooding

Showing results (71-80 of 92) with videos related to

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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.
The Journal of Pathology. Clinical Research|October 26, 2021
Diagnostic and prognostic implications of a three-antibody molecular subtyping algorithm for non-muscle invasive bladder cancerChelsea L Jackson, Lina Chen, Céline Sc Hardy, et al.
BMC Genomics|March 8, 2008
Transcriptome analysis of grain development in hexaploid wheatYongfang Wan, Rebecca L Poole, Alison K Huttly, et al.
Pageof 10

Showing results (71-80 of 92) with videos related to

Sort By:
Pageof 10
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.
The Journal of Pathology. Clinical Research|October 26, 2021
Diagnostic and prognostic implications of a three-antibody molecular subtyping algorithm for non-muscle invasive bladder cancerChelsea L Jackson, Lina Chen, Céline Sc Hardy, et al.
BMC Genomics|March 8, 2008
Transcriptome analysis of grain development in hexaploid wheatYongfang Wan, Rebecca L Poole, Alison K Huttly, et al.
Pageof 10