Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Gorkem Saygili

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Scientific Reports|September 15, 2023
Continual learning approaches for single cell RNA sequencing dataGorkem Saygili, Busra OzgodeYigin
Scientific Reports|April 21, 2023
Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq dataBusra Ozgode Yigin, Gorkem Saygili
IEEE Transactions on Medical Imaging|September 29, 2015
Confidence Estimation for Medical Image Registration Based On Stereo ConfidencesGorkem Saygili, Marius Staring, Emile A Hendriks
Computers in Biology and Medicine|February 1, 2020
Comparison of morphometric parameters in prediction of hydrocephalus using random forestsBusra Ozgode Yigin, Oktay Algin, Gorkem Saygili
IEEE Transactions on Computational Biology and Bioinformatics|January 16, 2026
Confidence-Based Batch Ordering in Continual Learning: A Curriculum Learning Approach for Single-Cell RNA Sequencing DataBusra Ozgode Yigin, Gorkem Saygili, Pieter Spronck
Medical Image Analysis|June 22, 2019
Quantitative error prediction of medical image registration using regression forestsHessam Sokooti, Gorkem Saygili, Ben Glocker, et al.
Clinical Psychopharmacology and Neuroscience : the Official Scientific Journal of the Korean College of Neuropsychopharmacology|April 23, 2021
An Overview of Deep Learning Algorithms and Their Applications in NeuropsychiatryGokhan Guney, Busra Ozgode Yigin, Necdet Guven, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Automatic Identification of Anatomical Locations for Bone Abnormalities in CT Imaging: A Multiplanar YOLOv5 Detection ApproachMartijn Peter van Leeuwen, Thijs Ralf van Oudheusden, Sebastiaan Pascal Oei, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Scientific Reports|September 15, 2023
Continual learning approaches for single cell RNA sequencing dataGorkem Saygili, Busra OzgodeYigin
Scientific Reports|April 21, 2023
Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq dataBusra Ozgode Yigin, Gorkem Saygili
IEEE Transactions on Medical Imaging|September 29, 2015
Confidence Estimation for Medical Image Registration Based On Stereo ConfidencesGorkem Saygili, Marius Staring, Emile A Hendriks
Computers in Biology and Medicine|February 1, 2020
Comparison of morphometric parameters in prediction of hydrocephalus using random forestsBusra Ozgode Yigin, Oktay Algin, Gorkem Saygili
IEEE Transactions on Computational Biology and Bioinformatics|January 16, 2026
Confidence-Based Batch Ordering in Continual Learning: A Curriculum Learning Approach for Single-Cell RNA Sequencing DataBusra Ozgode Yigin, Gorkem Saygili, Pieter Spronck
Medical Image Analysis|June 22, 2019
Quantitative error prediction of medical image registration using regression forestsHessam Sokooti, Gorkem Saygili, Ben Glocker, et al.
Clinical Psychopharmacology and Neuroscience : the Official Scientific Journal of the Korean College of Neuropsychopharmacology|April 23, 2021
An Overview of Deep Learning Algorithms and Their Applications in NeuropsychiatryGokhan Guney, Busra Ozgode Yigin, Necdet Guven, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Automatic Identification of Anatomical Locations for Bone Abnormalities in CT Imaging: A Multiplanar YOLOv5 Detection ApproachMartijn Peter van Leeuwen, Thijs Ralf van Oudheusden, Sebastiaan Pascal Oei, et al.
Pageof 1