شبنم جعفرپور نشلي

Improving Brain Tumor Diagnosis Using a Combination of Machine Learning and Ensemble Learning

ناشر: دومین کنگره بین المللی هوش مصنوعی در علوم پزشکی

لینک مرتبط: https://civilica.com/doc/2310821/

Automated Cardiac Structure Segmentation in Cine-MRI Using EfficientNetB3-Backboned U-Net with Hybrid Loss Optimization

ناشر: دومین همایش ملی هوش مصنوعی در تصویربرداری پزشکی در انستیتو قلب و عروق شهید رجایی

Segmentation of the prostate, its zones, anterior fibromuscular stroma, and urethra on the MRIs and multimodality image fusion using U-Net model

ناشر: Journal Quantitative Imaging in Medicine and Surgery

لینک مرتبط: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511435/

Breast cancer prediction with trascriptome profiling using feature selectio and machine learning methods

ناشر: Journal BMC bioinformatics

لینک مرتبط: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-022-04965-8

Use of Deep Image-to-Image Translations to assess Complementary Value of Imaging Modalities: Application to PET and CT images in Head and Neck Cancer

ناشر: Source Journal of Nuclear Medicine

لینک مرتبط: https://jnm.snmjournals.org/content/64/supplement_1/P1585.abstract

Use of Deep Image-to-Image Translations to assess Complementary Value of Imaging Modalities: Application to PET and CT images in Head and Neck Cancer

ناشر: Journal of Nuclear Medicine

لینک مرتبط: https://jnm.snmjournals.org/content/64/supplement_1/P1585.abstract

Enhanced Interpretability in Breast Cancer Detection: Combining Grad‐CAM With Selective Layer Freezing in Deep Learning

ناشر: International Journal of Imaging Systems and Technology

لینک مرتبط: https://onlinelibrary.wiley.com/doi/abs/10.1002/ima.70151

Assessing the efficacy of 3D Dual-CycleGAN model for multi-contrast MRI synthesis

ناشر: Egyptian Journal of Radiology and Nuclear Medicine

لینک مرتبط: https://link.springer.com/article/10.1186/s43055-024-01287-y

A Novel Bi-LSTM Attention-Based Framework for Accurate Net Load and Renewable Energy Forecasting in Microgrids

ناشر: SysTol 2025 conference

لینک مرتبط: https://ieeexplore.ieee.org/abstract/document/11267312/

Transformer-based and CNN-based models for clinically effective 2D and 3D pelvic bone segmentation in CT imaging

لینک مرتبط: https://link.springer.com/article/10.1186/s12891-025-09444-8

Graph neural network-based multi-label classification of breast cancer using multiparametric MRI and clinical features

لینک مرتبط: https://link.springer.com/article/10.1007/s12672-025-04359-1