default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHassan Khotanlou
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j24]Hossein Shakibania, Sina Raoufi, Hassan Khotanlou
:
CDAN: Convolutional dense attention-guided network for low-light image enhancement. Digit. Signal Process. 156: 104802 (2025)- 2024
- [j23]Hossein Shakibania, Sina Raoufi, Behnam Pourafkham, Hassan Khotanlou, Muharram Mansoorizadeh:
Dual branch deep learning network for detection and stage grading of diabetic retinopathy. Biomed. Signal Process. Control. 93: 106168 (2024) - [j22]Reza Yazdi, Hassan Khotanlou:
MaxSigNet: Light learnable layer for semantic cell segmentation. Biomed. Signal Process. Control. 95: 106464 (2024) - [j21]Mehdi Eskandari, Hassan Khotanlou:
Data stream classification using a deep transfer learning method based on extreme learning machine and recurrent neural network. Multim. Tools Appl. 83(23): 63213-63241 (2024) - [j20]Reza Yazdi, Hassan Khotanlou:
A survey on automated cell tracking: challenges and solutions. Multim. Tools Appl. 83(34): 81511-81547 (2024) - 2023
- [j19]Abdulhameed Al Obaid, Hassan Khotanlou, Muharram Mansoorizadeh, Davood Zabihzadeh:
Robust Semi-Supervised Fake News Recognition by Effective Augmentations and Ensemble of Diverse Deep Learners. IEEE Access 11: 54526-54543 (2023) - [i6]Hossein Shakibania, Sina Raoufi, Behnam Pourafkham, Hassan Khotanlou, Muharram Mansoorizadeh:
Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy. CoRR abs/2308.09945 (2023) - [i5]Hossein Shakibania, Sina Raoufi, Hassan Khotanlou:
CDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement. CoRR abs/2308.12902 (2023) - 2022
- [j18]Abdulhameed Al Obaid, Hassan Khotanlou, Muharram Mansoorizadeh, Davood Zabihzadeh:
Multimodal Fake-News Recognition Using Ensemble of Deep Learners. Entropy 24(9): 1242 (2022) - [j17]Mohammad Aminian, Hassan Khotanlou:
CapsNet-based brain tumor segmentation in multimodal MRI images using inhomogeneous voxels in Del vector domain. Multim. Tools Appl. 81(13): 17793-17815 (2022) - 2021
- [j16]Fatemh Bashir-Gonbadi, Hassan Khotanlou:
Brain tumor classification using deep convolutional autoencoder-based neural network: multi-task approach. Multim. Tools Appl. 80(13): 19909-19929 (2021) - 2020
- [j15]Maryam Mousavi, Hassan Khotanlou, Azuraliza Abu Bakar, Mohammadmahdi Vakilian:
Varying density method for data stream clustering. Appl. Soft Comput. 97(Part B): 106797 (2020) - [j14]S. M. Moein Peyghambarzadeh, Fatemeh Azizmalayeri, Hassan Khotanlou, Amir Salarpour:
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis. Digit. Signal Process. 98: 102633 (2020) - [j13]Mahlagha Afrasiabi, Hassan Khotanlou, Theo Gevers:
Spatial-temporal dual-actor CNN for human interaction prediction in video. Multim. Tools Appl. 79(27-28): 20019-20038 (2020) - [j12]Mahlagha Afrasiabi, Hassan Khotanlou, Muharram Mansoorizadeh:
DTW-CNN: time series-based human interaction prediction in videos using CNN-extracted features. Vis. Comput. 36(6): 1127-1139 (2020) - [i4]Ramtin Babaeipour, Elham Azizi, Hassan Khotanlou:
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods. CoRR abs/2010.04936 (2020)
2010 – 2019
- 2019
- [j11]Amir Salarpour, Hassan Khotanlou:
Direction-based similarity measure to trajectory clustering. IET Signal Process. 13(1): 70-76 (2019) - [j10]Keyvan Amini, Morteza Kimiaei, Hassan Khotanlou:
A non-monotone pattern search approach for systems of nonlinear equations. Int. J. Comput. Math. 96(1): 33-50 (2019) - [j9]Zohreh Ghaderi, Hassan Khotanlou:
Weakly supervised pairwise Frank-Wolfe algorithm to recognize a sequence of human actions in RGB-D videos. Signal Image Video Process. 13(8): 1619-1627 (2019) - [i3]Ali A. Kiaei, Hassan Khotanlou, Mahdi Abbasi, Paniz Kiaei, Yasin Bhrouzi:
An Objective Evaluation Metric for image fusion based on Del Operator. CoRR abs/1905.07709 (2019) - [i2]Moein Hasani, Hassan Khotanlou:
An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks. CoRR abs/1912.04259 (2019) - [i1]Moein Hasani, Amin Nasim Saravi, Hassan Khotanlou:
An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks. CoRR abs/1912.05333 (2019) - 2018
- [j8]Fariba Nasiriyan, Hassan Khotanlou:
Sparse Connectivity and Activity Using Sequential Feature Selection in Supervised Learning. Appl. Artif. Intell. 32(6): 568-581 (2018) - [j7]Hadi Hejazifar, Hassan Khotanlou:
Fast and robust seam estimation to seamless image stitching. Signal Image Video Process. 12(5): 885-893 (2018) - 2017
- [j6]Mohsen Shakeri, Mir Hossein Dezfoulian, Hassan Khotanlou, A. H. Barati, Y. Masoumi:
Image contrast enhancement using fuzzy clustering with adaptive cluster parameter and sub-histogram equalization. Digit. Signal Process. 62: 224-237 (2017) - [j5]Ali A. Kiaei, Hassan Khotanlou:
Segmentation of medical images using mean value guided contour. Medical Image Anal. 40: 111-132 (2017) - 2016
- [j4]Morteza Jaderyan, Hassan Khotanlou:
Virulence Optimization Algorithm. Appl. Soft Comput. 43: 596-618 (2016) - [j3]Razieh Abbasi Ghalehtaki, Hassan Khotanlou, Mansour Esmaeilpour:
Fuzzy evolutionary cellular learning automata model for text summarization. Swarm Evol. Comput. 30: 11-26 (2016) - 2015
- [j2]Mohsen Aliabadi, Rostam Golmohammadi, Hassan Khotanlou, Muharram Mansoorizadeh, Amir Salarpour:
Artificial Neural Networks and Advanced Fuzzy Techniques for Predicting Noise Level in the Industrial Embroidery Workrooms. Appl. Artif. Intell. 29(8): 766-785 (2015) - 2010
- [c3]Alireza Fallahi, Mohammad Pooyan, Hassan Hashemi, Hassan Khotanlou, Mohammad Ali Oghabian, Kavous Firuznia:
Uterine Fibroid Segmentation on MRI based on Chan-vese Level Set Method and Shape Prior Model. IMAGAPP/IVAPP 2010: 51-55
2000 – 2009
- 2009
- [j1]Hassan Khotanlou, Olivier Colliot, Jamal Atif, Isabelle Bloch:
3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models. Fuzzy Sets Syst. 160(10): 1457-1473 (2009) - 2007
- [c2]Hassan Khotanlou, Jamal Atif, Elsa D. Angelini, Hugues Duffau, Isabelle Bloch:
Adaptive Segmentation of Internal Brain Structures in Pathological Mr Images Depending on Tumor Types. ISBI 2007: 588-591 - 2005
- [c1]Hassan Khotanlou, Jamal Atif, Olivier Colliot, Isabelle Bloch:
3D Brain Tumor Segmentation Using Fuzzy Classification and Deformable Models. WILF 2005: 312-318
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 2025-01-09 13:07 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:
