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Leonardo O. Iheme
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2020 – today
- 2024
- [j4]Yusuf Sait Erdem, Leonardo Obinna Iheme, Mahmut Uçar, Özden Yalçin Özuysal, Muhammed Balikçi, Kenan Morani, Behçet Ugur Töreyin, Devrim Ünay:
Novel Neural Style Transfer based data synthesis method for phase-contrast wound healing assay images. Biomed. Signal Process. Control. 96: 106514 (2024) - 2022
- [j3]Leonardo Obinna Iheme, Sükrü Ozan:
A novel semi-supervised framework for call center agent malpractice detection via neural feature learning. Expert Syst. Appl. 208: 118173 (2022) - [j2]Sercan Çayir, Gizem Solmaz, Huseyin Kusetogullari, Fatma Tokat, Engin Bozaba, Sencer Karakaya, Leonardo Obinna Iheme, Eren Tekin, Çisem Yazici, Gülsah Özsoy, Samet Ayalti, Cavit Kerem Kayhan, Ümit Ince, Burak Uzel, Onur Kiliç:
MITNET: a novel dataset and a two-stage deep learning approach for mitosis recognition in whole slide images of breast cancer tissue. Neural Comput. Appl. 34(20): 17837-17851 (2022) - 2021
- [c4]Leonardo O. Iheme, Gizem Solmaz, Fatma Tokat, Sercan Çayir, Engin Bozaba, Çisem Yazici, Gülsah Özsoy, Samet Ayalti, Cavit Kerem Kayhan, Ümit Ince:
Patch-Level Nuclear Pleomorphism Scoring Using Convolutional Neural Networks. CAIP (1) 2021: 185-194 - [c3]Engin Bozaba, Gizem Solmaz, Çisem Yazici, Gülsah Özsoy, Fatma Tokat, Leonardo O. Iheme, Sercan Çayir, Samet Ayalti, Cavit Kerem Kayhan, Ümit Ince:
Nuclei Detection on Breast Cancer Histopathology Images Using RetinaNet. SIU 2021: 1-4 - [i1]Sükrü Ozan, Leonardo Obinna Iheme:
A Novel Semi-supervised Framework for Call Center Agent Malpractice Detection via Neural Feature Learning. CoRR abs/2106.02433 (2021)
2010 – 2019
- 2019
- [c2]Sükrü Ozan, Leonardo O. Iheme:
Artificial Neural Networks in Customer Segmentation. SIU 2019: 1-4 - 2015
- [j1]David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack Jr., Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, M. Jorge Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, Sébastien Ourselin:
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123: 149-164 (2015) - 2013
- [c1]Leonardo O. Iheme, Devrim Ünay, Osman Baskaya, Ahmet Sennaz, Melek Kandemir, Z. Betül Yalçiner, M. Savas Tepe, Turgay Kahraman, Gözde B. Ünal:
Concordance between computer-based neuroimaging findings and expert assessments in dementia grading. SIU 2013: 1-4
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last updated on 2024-07-20 21:16 CEST by the dblp team
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