Concepedia

Author

Umay Kiraz

University of StavangerORCID

Also Known As

Kiraz, Umay, Umay Kiraz, Umay KİRAZ

40

Publications

310

Citations

10

H-Index

22

Concepts

All Affiliations

University of StavangerStavanger University HospitalErasmus MC Cancer InstituteUniversity of Alabama at BirminghamKocaeli Üniversitesi
UK

About

Umay Kiraz is an author at University of Stavanger specializing in computer vision, medical image computing, and ear molding.

Top Concepts

#ConceptH-IndexPublicationsCitations

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Engineering

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Health Sciences

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Biostatistics

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Data Science

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Biomedical Imaging

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Umay Kiraz

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8

Publications

149

Citations

8

H-Index

YearCitations

A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images

Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li,

Bioinformatics

2022

40

Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images

Saul Fuster, Farbod Khoraminia, Umay Kiraz,

2022

21

Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images

Neel Kanwal, Miguel López-Pérez, Umay Kiraz,

Computerized Medical Imaging and Graphics

2023

21

Solid variant of papillary thyroid carcinoma: An analysis of 28 cases with current literature

Çiğdem Vural, Umay Kiraz, Gupse Turan,

Annals of Diagnostic Pathology

2021

20

Cushing’s disease due to a pituitary adenoma as a component of collision tumor: A case report and review of the literature

Emre Gezer, Zeynep Cantürk, Alev Selek,

Journal of Medical Case Reports

2020

14

Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization

Claudio Fernandez‐Martín, Julio Silva-Rodríguez, Umay Kiraz,

Computerized Medical Imaging and Graphics

2024

12

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs

Neel Kanwal, Farbod Khoraminia, Umay Kiraz,

BMC Medical Informatics and Decision Making

2024

11

Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning

Shristi Bhattarai, Geetanjali Saini, Hongxiao Li,

2023

10

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