Sepideh Hatamikia
Orcid: 0000-0002-0182-0954
According to our database1,
Sepideh Hatamikia authored at least 24 papers
between 2015 and 2026.
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Bibliography
2026
Deep learning based Non-Rigid Volume-to-Surface Registration for Brain Shift compensation Using Point Cloud.
CoRR, April, 2026
No-reference based automatic parameter optimization for iterative reconstruction using a novel search space aware crow search algorithm.
CoRR, April, 2026
A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection.
CoRR, April, 2026
Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning.
CoRR, March, 2026
NucFuseRank: Dataset Fusion and Performance Ranking for Nuclei Instance Segmentation.
CoRR, January, 2026
Developing Predictive and Robust Radiomics Models for Chemotherapy Response in High-Grade Serous Ovarian Carcinoma.
CoRR, January, 2026
2025
From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models in Ovarian Masses.
CoRR, November, 2025
CoRR, September, 2025
Ultrasound-based detection and malignancy prediction of breast lesions eligible for biopsy: A multi-center clinical-scenario study using nomograms, large language models, and radiologist evaluation.
CoRR, September, 2025
Evaluating pre-trained convolutional neural networks and foundation models as feature extractors for content-based medical image retrieval.
Eng. Appl. Artif. Intell., 2025
An integrated optimization and deep learning pipeline for predicting live birth success in IVF using feature optimization and transformer-based models.
Comput. Methods Programs Biomed., 2025
2024
A Review on the Integration of Artificial Intelligence and Medical Imaging in IVF Ovarian Stimulation.
CoRR, 2024
TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets.
CoRR, 2024
Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images.
CoRR, 2024
A study of why we need to reassess full reference image quality assessment with medical images.
CoRR, 2024
Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction.
CoRR, 2024
2023
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization.
CoRR, 2023
NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images.
CoRR, 2023
2022
Possibility assessment of CBCT metal artifact reduction based on PICCS reconstruction and trajectory optimization.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Int. J. Comput. Assist. Radiol. Surg., 2019
2017
Recognition of emotional states in response to audio-visual inductions based on nonlinear analysis and self-organisation map classification.
Int. J. Medical Eng. Informatics, 2017
2015
Subject transfer BCI based on Composite Local Temporal Correlation Common Spatial Pattern.
Comput. Biol. Medicine, 2015