교수소개

조교수

조환호
직책/직급
조교수
주전공
Medical image computing, Medical artificial intelligence
담당과목
인공지능, 딥러닝
전화번호
032-835-8441
이메일
hwanho@inu.ac.kr
홈페이지
https://sites.google.com/view/mai-inu/
학력

2021.08.25 성균관대학교(자연과학캠퍼스)  (박사)

2016.02.25 성균관대학교(자연과학캠퍼스)  (학사)

경력

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연구실적
<논문> 

Computed Tomography Radiomics Models of Tumor Differentiation in Canine Small Intestinal Tumors, Frontiers in Veterinary Science , 제11권(집) , 2024.09.23

3D airway geometry analysis of factors in airway navigation failure for lung nodules, CANCER IMAGING , 제24권(집) , PP.84~84 , 2024.07.04

Predicting cerebrovascular age and its clinical relevance: Modeling using 3D morphological features of brain vessels, Heliyon , 제10권(집) , 제11호 , PP.32375~32375 , 2024.06.15

Global intracranial arterial tortuosity is associated with intracranial atherosclerotic burden, Scientific Reports , 제14권(집) , 제1호 , PP.11318~11318 , 2024.05.17

The effect of intensive statin therapy in non-symptomatic intracranial arteries: The STAMINA-MRI sub-study, Frontiers in Neurology , 2023.03.28

Automated in-depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks, Scientific Reports , 2023.02.24

Tumor-Attentive Segmentation-Guided GAN for Synthesizing Breast Contrast-Enhanced MRI Without Contrast Agents, IEEE Journal of Translational Engineering in Health and Medicine , 제11권(집) , 2023.01.01

Robust multimodal fusion network using adversarial learning for brain tumor grading, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE , 2022.09.29

Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: advantage of spatial partitioning on tumor evaluation, EUROPEAN RADIOLOGY , 2022.05.12

Measurement of Perfusion Heterogeneity within Tumor Habitats on Magnetic Resonance Imaging and Its Association with Prognosis in Breast Cancer Patients, Cancers , 2022.04.07

Overview of radiomics in prostate imaging and future directions, BRITISH JOURNAL OF RADIOLOGY , 제95권(집) , 2022.01.01

Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans, Communications Biology , 2021.11.12

A Cascaded Neural Network for Staging in Non-Small Cell Lung Cancer Using Pre-Treatment CT, Diagnostics , 2021.06.07

Pleomorphic carcinoma of the lung: Prognostic models of semantic, radiomics and combined features from CT and PET/CT in 85 patients, European Journal of Radiology Open , 2021.05.18

Are radiomics features universally applicable to different organs?, CANCER IMAGING , 2021.04.07