Mina Rezaei

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Convolutional Neural Network

Visual Representations

Top Venues

Medical Imaging: Computer-Aided Diagnosis

BrainLes@MICCAI (2)

Publications

Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization. ICLR (2024)
Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models. CoRR (2024)
Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi
Deep Bregman divergence for self-supervised representations learning. Comput. Vis. Image Underst. 235 (2023)
Mina Rezaei, Patsy Eubanks Owens
Young Humans Make Change, Young Users Click: Creating Youth-Centered Networked Social Movements. CoRR (2023)
Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei
A Dual-Perspective Approach to Evaluating Feature Attribution Methods. CoRR (2023)
Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
Probabilistic Self-supervised Learning via Scoring Rules Minimization. CoRR (2023)
Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder
Neural Architecture Search for Genomic Sequence Data. CIBCB (2023)
Amirhossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning. CoRR (2023)
Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip Torr, Ashkan Khakzar, Kenji Kawaguchi
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. CoRR (2023)
Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. ACL (Findings) (2023)
Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences. ICMLA (2023)
Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. CoRR (2023)
Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. CoRR (2023)
Mina Rezaei, Janne J. Näppi, Bernd Bischl, Hiroyuki Yoshida
Bayesian uncertainty estimation for detection of long-tail and unseen conditions in abdominal images. Medical Imaging: Computer-Aided Diagnosis (2022)
Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection. CoRR (2022)
Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei
Joint Debiased Representation and Image Clustering Learning with Self-Supervision. CoRR (2022)
Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. CoRR (2022)
Emilio Dorigatti, Jonas Schweisthal, Bernd Bischl, Mina Rezaei
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision. CoRR (2022)
Mina Rezaei, Patsy Eubanks Owens, Darnel Degand
Evaluating User Experience in Literary and Film Geography-based Apps with a Cartographical User-Centered Design Lens. CoRR (2022)
Ashkan Khakzar, Yawei Li, Yang Zhang, Mirac Sanisoglu, Seong Tae Kim, Mina Rezaei, Bernd Bischl, Nassir Navab
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models. CoRR (2022)
Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei
Deep variational clustering framework for self-labeling large-scale medical images. Medical Imaging: Image Processing (2022)
Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan D. Wegner, Konrad Schindler
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. NeurIPS (2022)
Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl
Joint Debiased Representation Learning and Imbalanced Data Clustering. ICDM (Workshops) (2022)
Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi
Deep Bregman Divergence for Contrastive Learning of Visual Representations. CoRR (2021)
Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images. CoRR (2021)
Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl
Learning Statistical Representation with Joint Deep Embedded Clustering. CoRR (2021)
Mina Rezaei, Janne J. Näppi, Christoph Lippert, Christoph Meinel, Hiroyuki Yoshida
Generative multi-adversarial network for striking the right balance in abdominal image segmentation. Int. J. Comput. Assist. Radiol. Surg. 15 (11) (2020)
Mina Rezaei, Tomoki Uemura, Janne Näppi, Hiroyuki Yoshida, Christoph Lippert, Christoph Meinel
Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis. Medical Imaging: Computer-Aided Diagnosis (2020)
Mina Rezaei, Haojin Yang, Christoph Meinel
Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation. Multim. Tools Appl. 79 (21-22) (2020)
Mina Rezaei, Haojin Yang, Christoph Meinel
Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networks. Medical Imaging: Computer-Aided Diagnosis (2019)
Mina Rezaei, Haojin Yang, Konstantin Harmuth, Christoph Meinel
Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation. WACV (2019)
Mina Rezaei, Haojin Yang, Christoph Meinel
Generative Adversarial Framework for Learning Multiple Clinical Tasks. DICTA (2018)
Mina Rezaei, Haojin Yang, Christoph Meinel
Whole Heart and Great Vessel Segmentation with Context-aware of Generative Adversarial Networks. Bildverarbeitung für die Medizin (2018)
Mina Rezaei, Haojin Yang, Christoph Meinel
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation. CoRR (2018)
Mina Rezaei, Haojin Yang, Christoph Meinel
voxel-GAN: Adversarial Framework for Learning Imbalanced Brain Tumor Segmentation. BrainLes@MICCAI (2) (2018)
Mina Rezaei, Haojin Yang, Christoph Meinel
Instance Tumor Segmentation using Multitask Convolutional Neural Network. IJCNN (2018)
Mina Rezaei, Haojin Yang, Christoph Meinel
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data. CoRR (2018)
Mina Rezaei, Haojin Yang, Christoph Meinel
Deep Learning for Medical Image Analysis. CoRR (2017)
Mina Rezaei, Haojin Yang, Christoph Meinel
Deep Neural Network with l2-norm Unit for Brain Lesions Detection. CoRR (2017)
Mina Rezaei, Haojin Yang, Christoph Meinel
Brain Abnormality Detection by Deep Convolutional Neural Network. CoRR (2017)
Mina Rezaei, Haojin Yang, Christoph Meinel
Deep Neural Network with l2-Norm Unit for Brain Lesions Detection. ICONIP (4) (2017)
Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang, Christoph Meinel
A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor. BrainLes@MICCAI (2017)
Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang, Christoph Meinel
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor. CoRR (2017)