Artikel mit Open-Access-Mandaten - Metin N. GurcanWeitere Informationen
Nicht verfügbar: 30
Detection of eardrum abnormalities using ensemble deep learning approaches
C Senaras, AC Moberly, T Teknos, G Essig, C Elmaraghy, N Taj-Schaal, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 295-300, 2018
Mandate: US National Institutes of Health
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study
MKK Niazi, M Pennell, C Elkins, J Hemminger, M Jin, S Kirby, H Kurt, ...
Medical Imaging 2013: Digital Pathology 8676, 175-183, 2013
Mandate: US National Institutes of Health
Perceptual clustering for automatic hotspot detection from Ki‐67‐stained neuroendocrine tumour images
MK KHAN NIAZI, MM Yearsley, X Zhou, WL Frankel, MN Gurcan
Journal of microscopy 256 (3), 213-225, 2014
Mandate: US National Institutes of Health
Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining
C Senaras, B Sahiner, G Tozbikian, G Lozanski, MN Gurcan
Medical Imaging 2018: Digital Pathology 10581, 15-20, 2018
Mandate: US National Institutes of Health
Decision fusion on image analysis and tympanometry to detect eardrum abnormalities
H Binol, AC Moberly, MKK Niazi, G Essig, J Shah, C Elmaraghy, T Teknos, ...
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 375-382, 2020
Mandate: US National Institutes of Health
One label is all you need: Interpretable AI-enhanced histopathology for oncology
TE Tavolara, Z Su, MN Gurcan, MKK Niazi
Seminars in Cancer Biology, 2023
Mandate: US National Institutes of Health
Advances in artificial intelligence to diagnose otitis media: state of the art review
S Ngombu, H Binol, MN Gurcan, AC Moberly
Otolaryngology–Head and Neck Surgery 168 (4), 635-642, 2023
Mandate: US National Institutes of Health
Automated image analysis methodologies to compute bioink printability
M Uzun-Per, GJ Gillispie, TE Tavolara, JJ Yoo, A Atala, MN Gurcan, ...
Advanced Engineering Materials 23 (4), 2000900, 2021
Mandate: US National Institutes of Health
Intraoperative neuropathology of glioma recurrence: cell detection and classification
FS Abas, HN Gokozan, B Goksel, JJ Otero, MN Gurcan
Medical Imaging 2016: Digital Pathology 9791, 59-68, 2016
Mandate: US National Institutes of Health
Segmentation of follicular regions on H&E slides using a matching filter and active contour model
K Belkacem-Boussaid, J Prescott, G Lozanski, MN Gurcan
Medical Imaging 2010: Computer-Aided Diagnosis 7624, 902-912, 2010
Mandate: US National Institutes of Health
Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach
MKK Niazi, TE Tavolara, V Arole, AV Parwani, C Lee, MN Gurcan
Medical Imaging 2018: Digital Pathology 10581, 134-142, 2018
Mandate: US National Institutes of Health
Hotspot detection in pancreatic neuroendocrine tumors: density approximation by α-shape maps
MKK Niazi, DJ Hartman, L Pantanowitz, MN Gurcan
Medical Imaging 2016: Digital Pathology 9791, 75-82, 2016
Mandate: US National Institutes of Health
Computer-assisted bladder cancer grading: α-shapes for color space decomposition
MKK Niazi, AV Parwani, MN Gurcan
Medical Imaging 2016: Digital Pathology 9791, 40-47, 2016
Mandate: US National Institutes of Health
An efficient graph-cut segmentation for knee bone osteoarthritis medical images
SY Ababneh, MN Gurcan
2010 IEEE International Conference on Electro/Information Technology, 1-4, 2010
Mandate: US National Institutes of Health
Automated video summarization and label assignment for otoscopy videos using deep learning and natural language processing
H Binol, MKK Niazi, C Elmaraghy, AC Moberly, MN Gurcan
Medical imaging 2021: imaging informatics for healthcare, research, and …, 2021
Mandate: US National Institutes of Health
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning
C Senaras, MKK Niazi, V Arole, W Chen, B Sahiner, A Shana’ah, ...
Medical Imaging 2019: Digital Pathology 10956, 159-165, 2019
Mandate: US National Institutes of Health
An automated content-based segmentation framework: Application to MR images of knee for osteoarthritis research
SY Ababneh, MN Gurcan
2010 IEEE International Conference on Electro/Information Technology, 1-4, 2010
Mandate: US National Institutes of Health
Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E
TE Tavolara, MKK Niazi, W Chen, W Frankel, MN Gurcan
Medical Imaging 2019: Digital Pathology 10956, 229-237, 2019
Mandate: US National Institutes of Health
Template-based level set segmentation using anatomical information
JW Prescott, MS Swanson, K Powell, MN Gurcan, F Haq, TM Best, ...
2009 24th International Symposium on Computer and Information Sciences, 24-29, 2009
Mandate: US National Institutes of Health
Minimizing the intra-pathologist disagreement for tumor bud detection on H&E images using weakly supervised learning
TE Tavolara, W Chen, WL Frankel, MN Gurcan, MKK Niazi
Medical Imaging 2023: Digital and Computational Pathology 12471, 277-283, 2023
Mandate: US National Institutes of Health
Angaben zur Publikation und Finanzierung werden automatisch von einem Computerprogramm ermittelt