Behzad Bozorgtabar

1.9k total citations
37 papers, 703 citations indexed

About

Behzad Bozorgtabar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Behzad Bozorgtabar has authored 37 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Behzad Bozorgtabar's work include AI in cancer detection (15 papers), COVID-19 diagnosis using AI (8 papers) and Face and Expression Recognition (7 papers). Behzad Bozorgtabar is often cited by papers focused on AI in cancer detection (15 papers), COVID-19 diagnosis using AI (8 papers) and Face and Expression Recognition (7 papers). Behzad Bozorgtabar collaborates with scholars based in Switzerland, Australia and United Arab Emirates. Behzad Bozorgtabar's co-authors include Dwarikanath Mahapatra, Rahil Garnavi, Jean‐Philippe Thiran, Hamed Azami, Karim Mohammadi, Zongyuan Ge, Hazım Kemal Ekenel, Suman Sedai, Praveen K. Roy and Sergey Demyanov and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Pattern Recognition and Neurocomputing.

In The Last Decade

Behzad Bozorgtabar

36 papers receiving 682 citations

Peers

Countries citing papers authored by Behzad Bozorgtabar

Since Specialization

Citations

This map shows the geographic impact of Behzad Bozorgtabar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Behzad Bozorgtabar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behzad Bozorgtabar more than expected).

Fields of papers citing papers by Behzad Bozorgtabar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Behzad Bozorgtabar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Behzad Bozorgtabar. The network helps show where Behzad Bozorgtabar may publish in the future.

Co-authorship network of co-authors of Behzad Bozorgtabar

This figure shows the co-authorship network connecting the top 25 collaborators of Behzad Bozorgtabar. A scholar is included among the top collaborators of Behzad Bozorgtabar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Behzad Bozorgtabar. Behzad Bozorgtabar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Robust semantic learning for precise medical image segmentation 2025 ·Biomedical Signal Processing and Control ·(unknown), (unknown), (unknown), (unknown), Behzad Bozorgtabar, Sudipta Roy	0
2	ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification 2024 ·Medical Image Analysis ·Dwarikanath Mahapatra, Ruwan Tennakoon, Yasmeen George, Sudipta Roy, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes	3
3	GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification 2024 ·Medical Image Analysis ·Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes	5
4	Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology 2024 ·IEEE Transactions on Medical Imaging ·(unknown), (unknown), Behzad Bozorgtabar, Jean‐Philippe Thiran	6
5	Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement 2024 ·IEEE Transactions on Medical Imaging ·Dwarikanath Mahapatra, Antonio Jimeno Yepes, Behzad Bozorgtabar, Sudipta Roy, Zongyuan Ge, Mauricio Reyes	3
6	Weakly supervised joint whole-slide segmentation and classification in prostate cancer 2023 ·Medical Image Analysis ·Pushpak Pati, Guillaume Jaume, (unknown), (unknown), Behzad Bozorgtabar, Maria Gabrani, Orçun Göksel	17
7	Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Behzad Bozorgtabar, (unknown)	12
8	Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime 2023 ·Computers in Biology and Medicine ·(unknown), (unknown), Behzad Bozorgtabar, (unknown), Patrick Petignat, Pierre Vassilakos, Jean‐Philippe Thiran	8
9	SaGTTA: Saliency Guided Test Time Augmentation for Medical Image Segmentation Across Vendor Domain Shift 2023 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·(unknown), (unknown), Behzad Bozorgtabar, Mauricio Reyes	1
10	Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection 2022 ·Medical Image Analysis ·(unknown), (unknown), Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean‐Philippe Thiran	23
11	Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation 2022 ·2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ·(unknown), Behzad Bozorgtabar, (unknown), (unknown), Jean‐Philippe Thiran	18
12	Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping 2021 ·ArODES (HES-SO (https://www.hes-so.ch/)) ·(unknown), (unknown), Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean‐Philippe Thiran	3
13	Image super-resolution using progressive generative adversarial networks for medical image analysis 2018 ·Computerized Medical Imaging and Graphics ·Dwarikanath Mahapatra, Behzad Bozorgtabar, Rahil Garnavi	181
14	Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging 2017 ·Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, (unknown), Rahil Garnavi	44
15	Skin lesion segmentation using deep convolution networks guided by local unsupervised learning 2017 ·IBM Journal of Research and Development ·Behzad Bozorgtabar, Suman Sedai, Praveen K. Roy, Rahil Garnavi	39
16	Investigating deep side layers for skin lesion segmentation 2017 ·Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi	4
17	Illumination Invariant Face Recognition Using Fuzzy LDA and FFNN 2012 ·Journal of Signal and Information Processing ·Behzad Bozorgtabar, Hamed Azami, (unknown)	4
18	A Genetic Programming approach to face recognition 2011 ·Behzad Bozorgtabar, (unknown), (unknown)	2
19	A Genetic Programming-PCA Hybrid Face Recognition Algorithm 2011 ·Journal of Signal and Information Processing ·Behzad Bozorgtabar, (unknown)	5
20	Comparison of different PCA based Face Recognition algorithms using Genetic Programming 2010 ·Behzad Bozorgtabar, (unknown), (unknown)	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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