Subject transfer BCI based on Composite Local Temporal Correlation Common Spatial Pattern. - Sepideh Hatamikia; Ali Motie Nasrabadi (Comput. Biol. Medicine, 2015)

Recognition of emotional states in response to audio-visual inductions based on nonlinear analysis and self-organisation map classification. - Sepideh Hatamikia; Ali Motie Nasrabadi (Int. J. Medical Eng. Informatics, 2017)

Synthesis of CT images from digital body phantoms using CycleGAN. - Tom Russ; Stephan Goerttler; Alena-Kathrin Schnurr; Dominik F. Bauer; Sepideh Hatamikia; Lothar R. Schad; Frank G. Zöllner; Khanlian Chung (Int. J. Comput. Assist. Radiol. Surg., 2019)

Short Scan Source-detector Trajectories for Target-based CBCT. - Sepideh Hatamikia; Ander Biguri; Gernot Kronreif; Tom Russ; Joachim Kettenbach; Wolfgang Birkfellner (EMBC, 2020)

Possibility assessment of CBCT metal artifact reduction based on PICCS reconstruction and trajectory optimization. - Sepideh Hatamikia; Ander Biguri; Gernot Kronreif; Joachim Kettenbach; Tom Russ; Wolfgang Birkfellner (Image-Guided Procedures, 2022)

On Krylov Methods for Large Scale CBCT Reconstruction. - Malena Sabate Landman; Ander Biguri; Sepideh Hatamikia; Richard P. Boardman; John A. D. Aston; Carola-Bibiane Schönlieb (CoRR, 2022)

NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images. - Amirreza Mahbod; Christine Polak; Katharina Feldmann; Rumsha Khan; Katharina Gelles; Georg Dorffner; Ramona Woitek; Sepideh Hatamikia; Isabella Ellinger (CoRR, 2023)

Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization. - Amirreza Mahbod; Georg Dorffner; Isabella Ellinger; Ramona Woitek; Sepideh Hatamikia (CoRR, 2023)

Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature Extraction. - Nematollah Saeidi; Hossein Karshenas; Bijan Shoushtarian; Sepideh Hatamikia; Ramona Woitek; Amirreza Mahbod (CoRR, 2024)

A study of why we need to reassess full reference image quality assessment with medical images. - Anna Breger; Ander Biguri; Malena Sabaté Landman; Ian Selby; Nicole Amberg; Elisabeth Brunner; Janek Gröhl; Sepideh Hatamikia; Clemens Karner; Lipeng Ning; Sören Dittmer; Michael Roberts; et al. (CoRR, 2024)

Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images. - Arezoo Borji; Gernot Kronreif; Bernhard Angermayr; Sepideh Hatamikia (CoRR, 2024)

TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets. - Ander Biguri; Tomoyuki Sadakane; Reuben Lindroos; Yi Liu; Malena Sabaté Landman; Yi Du; Manasavee Lohvithee; Stefanie Kaser; Sepideh Hatamikia; Robert Bryll; Emilien Valat; Sarinrat Wonglee; et al. (CoRR, 2024)

A Review on the Integration of Artificial Intelligence and Medical Imaging in IVF Ovarian Stimulation. - Jana Zakall; Birgit Pohn; Antonia Graf; Daniel Kovatchki; Arezoo Borji; Ragib Shahriar Islam; Hossam Haick; Heinz Strohmer; Sepideh Hatamikia (CoRR, 2024)

An integrated optimization and deep learning pipeline for predicting live birth success in IVF using feature optimization and transformer-based models. - Arezoo Borji; Hossam Haick; Birgit Pohn; Antonia Graf; Jana Zakall; S. M. Ragib Shahriar Islam; Gernot Kronreif; Daniel Kovatchki; Heinz Strohmer; Sepideh Hatamikia (Comput. Methods Programs Biomed., 2025)

Evaluating pre-trained convolutional neural networks and foundation models as feature extractors for content-based medical image retrieval. - Amirreza Mahbod; Nematollah Saeidi; Sepideh Hatamikia; Ramona Woitek (Eng. Appl. Artif. Intell., 2025)