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Alican Bozkurt

Showing results (1-10 of 11) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 9, 2026
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of SkinAlican Bozkurt, Kivanc Kose, Christi Alessi-Fox, et al.
The Journal of Investigative Dermatology|December 16, 2019
Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal MicroscopyKivanc Kose, Alican Bozkurt, Christi Alessi-Fox, et al.
Medrxiv : the Preprint Server for Health Sciences|May 4, 2026
Comparing Gleason Pattern 4 Measurement Approaches on Prostate Biopsy Using Machine Learning: A Proof-of-Principle StudyMatei M Buzoianu, Rebecca Yu, Melissa Assel, et al.
Journal of Biometrics & Biostatistics|May 28, 2019
Deep Learning Methods for Predicting Disease Status Using Genomic DataQianfan Wu, Adel Boueiz, Alican Bozkurt, et al.
Scientific Reports|June 16, 2021
Skin strata delineation in reflectance confocal microscopy images using recurrent convolutional networks with attentionAlican Bozkurt, Kivanc Kose, Jaume Coll-Font, et al.
Scientific Reports|February 12, 2021
Semantic segmentation of reflectance confocal microscopy mosaics of pigmented lesions using weak labelsMarissa D'Alonzo, Alican Bozkurt, Christi Alessi-Fox, et al.
Medical Image Analysis|November 3, 2020
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net)Kivanc Kose, Alican Bozkurt, Christi Alessi-Fox, et al.
Translational Vision Science & Technology|December 9, 2015
Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert DiagnosisEsra Ataer-Cansizoglu, Veronica Bolon-Canedo, J Peter Campbell, et al.
The American Journal of Surgical Pathology|May 29, 2024
Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node MetastasesJuan Antonio Retamero, Emre Gulturk, Alican Bozkurt, et al.
JAMA Ophthalmology|April 15, 2016
Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image AnalysisJ Peter Campbell, Esra Ataer-Cansizoglu, Veronica Bolon-Canedo, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

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Pageof 2
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 9, 2026
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of SkinAlican Bozkurt, Kivanc Kose, Christi Alessi-Fox, et al.
The Journal of Investigative Dermatology|December 16, 2019
Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal MicroscopyKivanc Kose, Alican Bozkurt, Christi Alessi-Fox, et al.
Medrxiv : the Preprint Server for Health Sciences|May 4, 2026
Comparing Gleason Pattern 4 Measurement Approaches on Prostate Biopsy Using Machine Learning: A Proof-of-Principle StudyMatei M Buzoianu, Rebecca Yu, Melissa Assel, et al.
Journal of Biometrics & Biostatistics|May 28, 2019
Deep Learning Methods for Predicting Disease Status Using Genomic DataQianfan Wu, Adel Boueiz, Alican Bozkurt, et al.
Scientific Reports|June 16, 2021
Skin strata delineation in reflectance confocal microscopy images using recurrent convolutional networks with attentionAlican Bozkurt, Kivanc Kose, Jaume Coll-Font, et al.
Scientific Reports|February 12, 2021
Semantic segmentation of reflectance confocal microscopy mosaics of pigmented lesions using weak labelsMarissa D'Alonzo, Alican Bozkurt, Christi Alessi-Fox, et al.
Medical Image Analysis|November 3, 2020
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net)Kivanc Kose, Alican Bozkurt, Christi Alessi-Fox, et al.
Translational Vision Science & Technology|December 9, 2015
Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert DiagnosisEsra Ataer-Cansizoglu, Veronica Bolon-Canedo, J Peter Campbell, et al.
The American Journal of Surgical Pathology|May 29, 2024
Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node MetastasesJuan Antonio Retamero, Emre Gulturk, Alican Bozkurt, et al.
JAMA Ophthalmology|April 15, 2016
Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image AnalysisJ Peter Campbell, Esra Ataer-Cansizoglu, Veronica Bolon-Canedo, et al.
Pageof 2