Blank Frame and Intensity Variation Distortion Detection and Restoration Pipeline for Phase-Contrast Microscopy Time-Lapse Images

Autor: Mahmut Ucar, Leonardo O Iheme, Sevgi Onal, Devrim Pesen- Okvur, Ozden Yalcin- Ozuysal, Behcet U Toreyin, Devrim Unay

Publikováno v: Electrica, Vol 24, Iss 1, Pp 60-66 (2024)

Externí odkaz: https://doaj.org/article/cb8c5b475bb54932801d9cfab1da5d2b

Nuclei Detection on Breast Cancer Histopathology Images Using RetinaNet

Autor: Cisem Yazici, Gulsah Ozsoy, Gizem Solmaz, Samet Ayalti, Umit Ince, Cavit Kerem Kayhan, Engin Bozaba, Leonardo O. Iheme, Sercan Cayir, Fatma Tokat

Publikováno v: SIU

The number of breast cancer cases and mortality rate has been on the rise globally. For effective treatment and curbing the mortality rate, early diagnosis is paramount. To evaluate the effectiveness of treatment, a fundamental step is histopathologi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fa9aaab6520fff40ad234051665fad0a
https://doi.org/10.1109/siu53274.2021.9477852

Feature Selection for Anomaly Detection in Call Center Data

Autor: Sukru Ozan, Leonardo O. Iheme

Publikováno v: 2019 11th International Conference on Electrical and Electronics Engineering (ELECO).

In this study, we present the process of designing machine learning models for the detection of call center agent malpractices. Based on the features extracted from audio recordings of a given telephone conversation, appropriate one-class support vec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e42f0d5b823593c01abf982ca7eee933
https://doi.org/10.23919/eleco47770.2019.8990454

Artificial Neural Networks in Customer Segmentation

Autor: Leonardo O. Iheme, Sukru Ozan

Publikováno v: SIU

Customer segmentation is an important method both in customer relationship management literature and software since it directly relates with customer satisfaction of the companies. The most common way to separate customers into two distinct groups is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f390949c50b4b25d44a034ec20dc182d
https://doi.org/10.1109/siu.2019.8806558

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

Autor: Pierre-Louis Bazin, Pierre Maurel, James Nguyen, Amod Jog, Bram Platel, Heinz Handels, Ariel Birenbaum, Aaron Carass, Oskar Maier, Diana M. Sima, Daniel S. Reich, Devrim Unay, Olga Ciccarelli, Abhijith Chunduru, Jennifer L. Cuzzocreo, Saurabh Jain, Dzung L. Pham, Ciprian M. Crainiceanu, Manuel Jorge Cardoso, Leonardo O. Iheme, Adrian Gherman, Tal Arbel, Snehashis Roy, Olivier Commowick, Ramanathan Muthuganapathy, Xavier Tomas-Fernandez, Dirk Smeets, Suthirth Vaidya, Claudia A. M. Wheeler-Kingshott, Andrew Jesson, Carole H. Sudre, Laurence Catanese, Christian Barillot, Hayit Greenspan, Niamh Cawley, Sebastien Ourselin, Hrishikesh Deshpande, Mohsen Ghafoorian, Peter A. Calabresi, Simon K. Warfield, Elizabeth Magrath, Julia Button, Lotta Maria Ellingsen, Ferran Prados, Jerry L. Prince, Ganapathy Krishnamurthi

Publikováno v: NeuroImage
NeuroImage, 2017, 148, pp.77-102. ⟨10.1016/j.neuroimage.2016.12.064⟩
NeuroImage, Elsevier, 2017, 148, pp.77-102. ⟨10.1016/j.neuroimage.2016.12.064⟩
NeuroImage, 148, 77-102
NeuroImage, 148, pp. 77-102

Contains fulltext : 173122.pdf (Publisher’s version ) (Closed access) In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation challenge providing training and test data to registered participants. The training

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::857d25c5987d571f7d394c1bb9b0290f
https://pubmed.ncbi.nlm.nih.gov/28087490