![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Khashayar Namdar
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2021
- [j3]Khashayar Namdar, Masoom A. Haider, Farzad Khalvati:
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account. Frontiers Artif. Intell. 4: 582928 (2021) - [j2]Ruqian Hao
, Khashayar Namdar, Lin Liu, Farzad Khalvati:
A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification. Frontiers Artif. Intell. 4: 635766 (2021) - [j1]Ruqian Hao
, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati
:
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks. J. Digit. Imaging 34(4): 862-876 (2021)
Conference and Workshop Papers
- 2023
- [c2]Sara Ketabi, Pranav Agnihotri, Hamed Zakeri, Khashayar Namdar, Farzad Khalvati:
Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 107-116 - [c1]Sajith Rajapaksa, Khashayar Namdar, Farzad Khalvati:
Combining Weakly Supervised Segmentation with Multitask Learning for Improved 3D MRI Brain Tumour Classification. MILLanD@MICCAI 2023: 171-180
Informal and Other Publications
- 2024
- [i15]Khashayar Namdar, Matthias W. Wagner, Cynthia Hawkins, Uri Tabori, Birgit B. Ertl-Wagner, Farzad Khalvati:
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks. CoRR abs/2402.03547 (2024) - [i14]Arash Rasti-Meymandi, Zahra Hosseini, Sina Davari, Abolfazl Moshiri, Shabnam Rahimi-Golkhandan, Khashayar Namdar, Nikta Feizi, Mohamad Tavakoli-Targhi, Farzad Khalvati:
Opportunities for Persian Digital Humanities Research with Artificial Intelligence Language Models; Case Study: Forough Farrokhzad. CoRR abs/2405.06760 (2024) - 2022
- [i13]Akino Watanabe, Sara Ketabi, Khashayar Namdar, Farzad Khalvati:
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators. CoRR abs/2207.00157 (2022) - [i12]Pranav Agnihotri, Sara Ketabi, Khashayar Namdar, Farzad Khalvati:
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology. CoRR abs/2207.14781 (2022) - [i11]Khashayar Namdar, Partoo Vafaeikia, Farzad Khalvati:
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning. CoRR abs/2208.10390 (2022) - [i10]Jay J. Yoo, Khashayar Namdar, Farzad Khalvati:
Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images. CoRR abs/2209.09930 (2022) - [i9]Khashayar Namdar, Matthias W. Wagner, Kareem Kudus, Cynthia Hawkins, Uri Tabori, Birgit Ertl-Wagner, Farzad Khalvati:
Tumor-location-guided CNNs for Pediatric Low-grade Glioma Molecular Biomarker Classification Using MRI. CoRR abs/2210.07287 (2022) - [i8]Jay J. Yoo, Khashayar Namdar, Matthias W. Wagner, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati:
A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images. CoRR abs/2211.05269 (2022) - [i7]Chaojun Chen, Khashayar Namdar, Yujie Wu, Shahob Hosseinpour, Manohar Shroff, Andrea S. Doria, Farzad Khalvati:
Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation. CoRR abs/2211.14122 (2022) - [i6]Jay J. Yoo, Khashayar Namdar, Chris McIntosh
, Farzad Khalvati, Patrik Rogalla:
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection. CoRR abs/2211.14396 (2022) - 2020
- [i5]Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati:
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks. CoRR abs/2006.01693 (2020) - [i4]Khashayar Namdar, Masoom A. Haider, Farzad Khalvati:
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account. CoRR abs/2006.04836 (2020) - [i3]Partoo Vafaeikia, Khashayar Namdar, Farzad Khalvati:
A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning. CoRR abs/2007.01126 (2020) - [i2]Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati:
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification. CoRR abs/2011.09265 (2020) - 2019
- [i1]Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati:
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection. CoRR abs/1911.01477 (2019)
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
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 2024-06-16 23:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint