Deep Neural Network with l2-Norm Unit for Brain Lesions Detection. - Mina Rezaei; Haojin Yang; Christoph Meinel (ICONIP (4), 2017)

A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor. - Mina Rezaei; Konstantin Harmuth; Willi Gierke; Thomas Kellermeier; Martin Fischer 004; Haojin Yang; Christoph Meinel (BrainLes@MICCAI, 2017)

Brain Abnormality Detection by Deep Convolutional Neural Network. - Mina Rezaei; Haojin Yang; Christoph Meinel (CoRR, 2017)

Deep Learning for Medical Image Analysis. - Mina Rezaei; Haojin Yang; Christoph Meinel (CoRR, 2017)

Whole Heart and Great Vessel Segmentation with Context-aware of Generative Adversarial Networks. - Mina Rezaei; Haojin Yang; Christoph Meinel (Bildverarbeitung für die Medizin, 2018)

Generative Adversarial Framework for Learning Multiple Clinical Tasks. - Mina Rezaei; Haojin Yang; Christoph Meinel (DICTA, 2018)

Instance Tumor Segmentation using Multitask Convolutional Neural Network. - Mina Rezaei; Haojin Yang; Christoph Meinel (IJCNN, 2018)

voxel-GAN: Adversarial Framework for Learning Imbalanced Brain Tumor Segmentation. - Mina Rezaei; Haojin Yang; Christoph Meinel (BrainLes@MICCAI (2), 2018)

Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation. - Mina Rezaei; Haojin Yang; Christoph Meinel (CoRR, 2018)

Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data. - Mina Rezaei; Haojin Yang; Christoph Meinel (CoRR, 2018)

Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networks. - Mina Rezaei; Haojin Yang; Christoph Meinel (Computer-Aided Diagnosis, 2019)

Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation. - Mina Rezaei; Haojin Yang; Konstantin Harmuth; Christoph Meinel (WACV, 2019)

Deep representation learning from imbalanced medical imaging - Mina Rezaei (2019)

Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis. - Mina Rezaei; Tomoki Uemura; Janne Näppi; Hiroyuki Yoshida; Christoph Lippert; Christoph Meinel (Computer-Aided Diagnosis, 2020)

Generative multi-adversarial network for striking the right balance in abdominal image segmentation. - Mina Rezaei; Janne J. Näppi; Christoph Lippert; Christoph Meinel; Hiroyuki Yoshida (Int. J. Comput. Assist. Radiol. Surg., 2020)

Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation. - Mina Rezaei; Haojin Yang; Christoph Meinel (Multim. Tools Appl., 2020)

Learning Statistical Representation with Joint Deep Embedded Clustering. - Mina Rezaei; Emilio Dorigatti; David Rügamer; Bernd Bischl (CoRR, 2021)

Deep Bregman Divergence for Contrastive Learning of Visual Representations. - Mina Rezaei; Farzin Soleymani; Bernd Bischl; Shekoofeh Azizi (CoRR, 2021)

Joint Debiased Representation Learning and Imbalanced Data Clustering. - Mina Rezaei; Emilio Dorigatti; David Rügamer; Bernd Bischl (ICDM (Workshops), 2022)

Bayesian uncertainty estimation for detection of long-tail and unseen conditions in abdominal images. - Mina Rezaei; Janne J. Näppi; Bernd Bischl; Hiroyuki Yoshida (Computer-Aided Diagnosis, 2022)

Deep variational clustering framework for self-labeling large-scale medical images. - Farzin Soleymani; Mohammad Eslami; Tobias Elze; Bernd Bischl; Mina Rezaei (Image Processing, 2022)

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. - Mehmet Ozgur Turkoglu; Alexander Becker; Hüseyin Anil Gündüz; Mina Rezaei; Bernd Bischl; Rodrigo Caye Daudt; Stefano D'Aronco; Jan D. Wegner; Konrad Schindler (NeurIPS, 2022)

Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection. - Emilio Dorigatti; Jann Goschenhofer; Benjamin Schubert; Mina Rezaei; Bernd Bischl (CoRR, 2022)

Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models. - Ashkan Khakzar; Yawei Li; Yang Zhang; Mirac Sanisoglu; Seong Tae Kim 001; Mina Rezaei; Bernd Bischl; Nassir Navab (CoRR, 2022)

Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision. - Emilio Dorigatti; Jonas Schweisthal; Bernd Bischl; Mina Rezaei (CoRR, 2022)

Evaluating User Experience in Literary and Film Geography-based Apps with a Cartographical User-Centered Design Lens. - Mina Rezaei; Patsy Eubanks Owens; Darnel Degand (CoRR, 2022)

Joint Debiased Representation and Image Clustering Learning with Self-Supervision. - Shunjie-Fabian Zheng; JaeEun Nam; Emilio Dorigatti; Bernd Bischl; Shekoofeh Azizi; Mina Rezaei (CoRR, 2022)

Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. - Daniel Saggau; Mina Rezaei; Bernd Bischl; Ilias Chalkidis (ACL (Findings), 2023)

Neural Architecture Search for Genomic Sequence Data. - Amadeu Scheppach; Hüseyin Anil Gündüz; Emilio Dorigatti; Philipp C. Münch; Alice C. McHardy; Bernd Bischl; Mina Rezaei; Martin Binder (CIBCB, 2023)

Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences. - Hüseyin Anil Gündüz; Sheetal Giri; Martin Binder; Bernd Bischl; Mina Rezaei (ICMLA, 2023)

Young Humans Make Change, Young Users Click: Creating Youth-Centered Networked Social Movements. - Mina Rezaei; Patsy Eubanks Owens (CoRR, 2023)

Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning. - Amirhossein Vahidi; Lisa Wimmer; Hüseyin Anil Gündüz; Bernd Bischl; Eyke Hüllermeier; Mina Rezaei (CoRR, 2023)

Probabilistic Self-supervised Learning via Scoring Rules Minimization. - Amirhossein Vahidi; Simon Schoßer; Lisa Wimmer; Yawei Li; Bernd Bischl; Eyke Hüllermeier; Mina Rezaei (CoRR, 2023)

AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. - Yang Zhang; Yawei Li; Hannah Brown; Mina Rezaei; Bernd Bischl; Philip H. S. Torr; Ashkan Khakzar; Kenji Kawaguchi (CoRR, 2023)

Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. - Franciskus Xaverius Erick; Mina Rezaei; Johanna Paula Müller; Bernhard Kainz (CoRR, 2023)

Deep Bregman divergence for self-supervised representations learning. - Mina Rezaei; Farzin Soleymani; Bernd Bischl; Shekoofeh Azizi (Comput. Vis. Image Underst., 2023)

Hyperbolic Contrastive Learning for Document Representations - A Multi-View Approach with Paragraph-level Similarities. - JaeEun Nam; Ilias Chalkidis; Mina Rezaei (ECAI, 2024)

Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization. - Amirhossein Vahidi; Simon Schoßer; Lisa Wimmer; Yawei Li; Bernd Bischl; Eyke Hüllermeier; Mina Rezaei (ICLR, 2024)

Uncertainty-Aware Vision Transformers for Medical Image Analysis. - Franciskus Xaverius Erick; Mina Rezaei; Johanna Paula Müller; Bernhard Kainz (UNSURE@MICCAI, 2024)

Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings. - Fabian Stermann; Ilias Chalkidis; Amihossein Vahidi; Bernd Bischl; Mina Rezaei (ECML/PKDD (1), 2024)

Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning. - Amihossein Vahidi; Lisa Wimmer; Hüseyin Anil Gündüz; Bernd Bischl; Eyke Hüllermeier; Mina Rezaei (ECML/PKDD (1), 2024)

FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models. - Yang Zhang; Yawei Li; Xinpeng Wang 003; Qianli Shen; Barbara Plank; Bernd Bischl; Mina Rezaei; Kenji Kawaguchi (CoRR, 2024)

A Dual-Perspective Approach to Evaluating Feature Attribution Methods. - Yawei Li; Yang Zhang; Kenji Kawaguchi; Ashkan Khakzar; Bernd Bischl; Mina Rezaei (Trans. Mach. Learn. Res., 2024)

Calibrating LLMs with Information-Theoretic Evidential Deep Learning. - Yawei Li; David Rügamer; Bernd Bischl; Mina Rezaei (ICLR, 2025)

Explorers' Intangible Power. - Mina Rezaei (Commun. ACM, 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)