Yayınlar & Eserler

Yayın Ağı
Makaleler 4
Tümü (4)
SCI-E, SSCI, AHCI (3)
SCI-E, SSCI, AHCI, ESCI (3)
Scopus (3)
Diğer Yayınlar (1)

1. A Novel Swarm Intelligence-Driven Feature Selection for Interpretable Machine Learning in Multiparametric MRI-Based GBM Overall Survival Analysis

DUMAN A., Sun X., Powell J. R., Spezi E.
Cancers , cilt.18, sa.12, 2026 (SCI-Expanded, Scopus)

2. A Novel Swarm Intelligence-Driven Feature Selection for Interpretable Machine Learning in GBM Overall Survival Analysis

Duman A., Powell J., Thomas S., Sun X., Spezi E.
medRxiv , cilt.0, ss.1-32, 2025 (Hakemsiz Dergi)

3. Reproducible and Interpretable Machine Learning-Based Radiomic Analysis for Overall Survival Prediction in Glioblastoma Multiforme

Duman A., Sun X., Thomas S., Powell J. R., Spezi E.
CANCERS , cilt.16, sa.19, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

4. RFS plus : A Clinically Adaptable and Computationally Efficient Strategy for Enhanced Brain Tumor Segmentation

Duman A., Karakus O., Sun X., Thomas S., Powell J., Spezi E.
CANCERS , cilt.15, sa.23, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 9

1. 108-Interpretable Radiomics-Based Prediction of IDH Status in Glioma

Duman A., Powell J. R., Spezi E.
BNOS British Neuro-oncology, Birmingham, İngiltere, 1 - 03 Temmuz 2026, (Özet Bildiri)

2. Validation of an auto-segmentation solution for the delineation of regions of interest in image guided brachytherapy treatment of cervix cancers

Doherty C., DUMAN A., Hutton M., Chuter R., Spezi E.
ESTRO 2026, Stockholm, İsveç, 15 - 19 Mayıs 2026, (Özet Bildiri)

3. RGU-Net: Computationally Efficient U-Net for Automated Brain Extraction of mpMRI with Presence of Glioblastoma

Kim K. W., Duman A., Spezi E.
Proceedings of the Cardiff University School of Engineering Research Conference 2024, Cardiff, İngiltere, 5 - 07 Temmuz 2024, ss.28-33, (Tam Metin Bildiri)

4. 2984: Radiomics-based Risk Stratification for GBM: Training, Validation, and Clinical Applicability

DUMAN A., Powell J., Thomas S., Sun X., Spezi E.
ESTRO 2024, Viyana, Avusturya, 18 Mayıs 2024, (Özet Bildiri)

5. Evaluation of Radiomic Analysis over the Comparison of Machine Learning Approach and Radiomic Risk Score on Glioblastoma

Duman A., Thomas S., Powell J., Spezi E.
the Cardiff University Engineering Research Conference 2023, Cardiff, İngiltere, 5 - 07 Temmuz 2024, ss.19-23, (Tam Metin Bildiri)

6. Generalizability of Deep Learning Models on Brain Tumour Segmentation

Duman A., Powell J., Thomas S., Sun X., Spezi E.
Cardiff University Engineering Research Conference 2023, Cardiff, İngiltere, 5 - 07 Temmuz 2024, ss.3-6, (Tam Metin Bildiri)

7. Radiomics-based Risk Stratification for GBM: Training, Validation, and Clinical Applicability

Duman A., Powell J., Thomas S., Sun X., Spezi E.
Annual Meeting of the European-Society-for-Radiotherapy-and-Oncology (ESTRO), Glasgow, İngiltere, 3 - 07 Mayıs 2024, cilt.194, (Özet Bildiri) Sürdürülebilir Kalkınma

8. Investigating the Feasibility of MRI Auto-segmentation for Image Guided Brachytherapy

Doherty C., Duman A., Chuter R., Hutton M., Spezi E.
Cardiff University Engineering Research Conference 2023, Cardiff, İngiltere, 5 - 07 Temmuz 2024, ss.11-15, (Tam Metin Bildiri)

9. Transferability of deep learning models to the segmentation of gross tumour volume in brain cancer

Duman A., Whybra P., Powell J., Thomas S., Sun X., Spezi E.
Annual Meeting of the European-Society-for-Radiotherapy-and-Oncology (ESTRO), Vienna, Avusturya, 12 - 16 Mayıs 2023, cilt.182, (Özet Bildiri) Sürdürülebilir Kalkınma
Metrikler

Yayın

14

Yayın (WoS)

6

Yayın (Scopus)

4

Atıf (WoS)

25

H-İndeks (WoS)

3

Atıf (Scopus)

31

H-İndeks (Scopus)

3

Atıf (Scholar)

44

H-İndeks (Scholar)

5

Proje

1
BM Sürdürülebilir Kalkınma Amaçları
SDG 3: AMAÇ 3: SAĞLIKLI BİREYLER