default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMina Rezaei
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c21]JaeEun Nam, Ilias Chalkidis, Mina Rezaei:
Hyperbolic Contrastive Learning for Document Representations - A Multi-View Approach with Paragraph-level Similarities. ECAI 2024: 1656-1663- [c20]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 - [c19]Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz:
Uncertainty-Aware Vision Transformers for Medical Image Analysis. UNSURE@MICCAI 2024: 171-180 - [c18]Amihossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei:
Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning. ECML/PKDD (1) 2024: 38-55 - [c17]Fabian Stermann, Ilias Chalkidis, Amihossein Vahidi, Bernd Bischl, Mina Rezaei:
Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings. ECML/PKDD (1) 2024: 89-106 - [i23]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 abs/2405.18218 (2024) - 2023
- [j3]Mina Rezaei
, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi:
Deep Bregman divergence for self-supervised representations learning. Comput. Vis. Image Underst. 235: 103801 (2023) - [c16]Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis:
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. ACL (Findings) 2023: 12181-12190 - [c15]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: 1-10 - [c14]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: 566-573 - [i22]Mina Rezaei, Patsy Eubanks Owens:
Young Humans Make Change, Young Users Click: Creating Youth-Centered Networked Social Movements. CoRR abs/2303.07541 (2023) - [i21]Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis:
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. CoRR abs/2305.16031 (2023) - [i20]Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei:
A Dual-Perspective Approach to Evaluating Feature Attribution Methods. CoRR abs/2308.08949 (2023) - [i19]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 abs/2308.14705 (2023) - [i18]Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei:
Probabilistic Self-supervised Learning via Scoring Rules Minimization. CoRR abs/2309.02048 (2023) - [i17]Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip H. S. Torr, Ashkan Khakzar, Kenji Kawaguchi:
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. CoRR abs/2310.06514 (2023) - [i16]Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz:
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. CoRR abs/2311.18645 (2023) - 2022
- [c13]Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl:
Joint Debiased Representation Learning and Imbalanced Data Clustering. ICDM (Workshops) 2022: 55-62 - [c12]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 - [c11]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 - [c10]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 - [i15]Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl:
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection. CoRR abs/2201.13192 (2022) - [i14]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 abs/2204.01729 (2022) - [i13]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 abs/2206.00050 (2022) - [i12]Emilio Dorigatti, Jonas Schweisthal, Bernd Bischl, Mina Rezaei:
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision. CoRR abs/2209.02459 (2022) - [i11]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 abs/2209.05734 (2022) - [i10]Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei:
Joint Debiased Representation and Image Clustering Learning with Self-Supervision. CoRR abs/2209.06941 (2022) - 2021
- [i9]Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl:
Learning Statistical Representation with Joint Deep Embedded Clustering. CoRR abs/2109.05232 (2021) - [i8]Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi:
Deep Bregman Divergence for Contrastive Learning of Visual Representations. CoRR abs/2109.07455 (2021) - [i7]Farzin Soleymani, Mohammad Eslami, Tobias Elze, Bernd Bischl, Mina Rezaei:
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images. CoRR abs/2109.10777 (2021) - 2020
- [j2]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): 1847-1858 (2020) - [j1]Mina Rezaei, Haojin Yang, Christoph Meinel:
Recurrent generative adversarial network for learning imbalanced medical image semantic segmentation. Multim. Tools Appl. 79(21-22): 15329-15348 (2020) - [c9]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
2010 – 2019
- 2019
- [b1]Mina Rezaei:
Deep representation learning from imbalanced medical imaging. University of Potsdam, Germany, 2019 - [c8]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: 1095027 - [c7]Mina Rezaei, Haojin Yang, Konstantin Harmuth, Christoph Meinel:
Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation. WACV 2019: 1836-1845 - 2018
- [c6]Mina Rezaei, Haojin Yang, Christoph Meinel:
Whole Heart and Great Vessel Segmentation with Context-aware of Generative Adversarial Networks. Bildverarbeitung für die Medizin 2018: 353-358 - [c5]Mina Rezaei, Haojin Yang, Christoph Meinel:
Generative Adversarial Framework for Learning Multiple Clinical Tasks. DICTA 2018: 1-8 - [c4]Mina Rezaei, Haojin Yang, Christoph Meinel:
Instance Tumor Segmentation using Multitask Convolutional Neural Network. IJCNN 2018: 1-8 - [c3]Mina Rezaei, Haojin Yang, Christoph Meinel:
voxel-GAN: Adversarial Framework for Learning Imbalanced Brain Tumor Segmentation. BrainLes@MICCAI (2) 2018: 321-333 - [i6]Mina Rezaei, Haojin Yang, Christoph Meinel:
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation. CoRR abs/1810.03871 (2018) - [i5]Mina Rezaei, Haojin Yang, Christoph Meinel:
Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data. CoRR abs/1811.10419 (2018) - 2017
- [c2]Mina Rezaei, Haojin Yang, Christoph Meinel:
Deep Neural Network with l2-Norm Unit for Brain Lesions Detection. ICONIP (4) 2017: 798-807 - [c1]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: 241-252 - [i4]Mina Rezaei, Haojin Yang, Christoph Meinel:
Brain Abnormality Detection by Deep Convolutional Neural Network. CoRR abs/1708.05206 (2017) - [i3]Mina Rezaei, Haojin Yang, Christoph Meinel:
Deep Neural Network with l2-norm Unit for Brain Lesions Detection. CoRR abs/1708.05221 (2017) - [i2]Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang, Christoph Meinel:
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor. CoRR abs/1708.05227 (2017) - [i1]Mina Rezaei, Haojin Yang, Christoph Meinel:
Deep Learning for Medical Image Analysis. CoRR abs/1708.08987 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-28 20:11 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
