Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A dual decoder U-Net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images
Amirreza Mahbod, Gerald Schaefer, Georg Dorffner, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 21

Showing 21 citing articles:

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation
Ming Kang, Chee-Ming Ting, Fung Fung Ting, et al.
Image and Vision Computing (2024) Vol. 147, pp. 105057-105057
Open Access | Times Cited: 91
NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images
Amirreza Mahbod, Christine Polak, Katharina Feldmann, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 13
Image-based identification and isolation of micronucleated cells to dissect cellular consequences
Lucian DiPeso, Sriram Pendyala, Heather Z Huang, et al.
(2025)
Open Access
Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization
Amirreza Mahbod, Georg Dorffner, Isabella Ellinger, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 669-678
Open Access | Times Cited: 3
Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization
Chengyang Zhang, Jie Chen, Bo Li, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 355-366
Open Access | Times Cited: 7
An improved Hover-net for nuclear segmentation and classification in histopathology images
Ji Wang, Lulu Qin, Dan Chen, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 19, pp. 14403-14417
Closed Access | Times Cited: 5
Application of Histopathology Image Analysis Using Deep Learning Networks
Md. Shamim Hossain, Leisa Armstrong, David M. Cook, et al.
Human-Centric Intelligent Systems (2024) Vol. 4, Iss. 3, pp. 417-436
Open Access | Times Cited: 1
Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification
Mukul Kadaskar, Nagamma Patil
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 4
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation
Min-Seong Kang, Chee-Ming Ting, Fung Fung Ting, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
ConvNext Mixer‐Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images
Hüseyin Fırat, Hüseyin Üzen, Davut Hanbay, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Open Access | Times Cited: 1
Image-based identification and isolation of micronucleated cells to dissect cellular consequences
Lucian DiPeso, Sriram Pendyala, Heather Z Huang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
The segmentation of nuclei from histopathology images with synthetic data
Md. Shamim Hossain, Leisa Armstrong, Jumana Abu-Khalaf, et al.
Signal Image and Video Processing (2023) Vol. 17, Iss. 7, pp. 3703-3711
Closed Access | Times Cited: 3
Development of U-net Neural Network for Biomedical Images with Big Data
Yameng Zhang, Min Wan, Hua Tian, et al.
Communications in computer and information science (2024), pp. 27-39
Closed Access
Image-based identification and isolation of micronucleated cells to dissect cellular consequences
Lucian DiPeso, Sriram Pendyala, Heather Z Huang, et al.
(2024)
Open Access
Image-based identification and isolation of micronucleated cells to dissect cellular consequences
Lucian DiPeso, Sriram Pendyala, Heather Z Huang, et al.
(2024)
Open Access
Bioimage Analysis
Lilibeth Cárdenas-Piedra, Rupert Ecker, Jyotsna Batra
Elsevier eBooks (2024)
Closed Access
An anchor-free instance segmentation method for cells based on mask contour
Qi Chen, Huihuang Zhang, Qianwei Zhou, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access
Artificial intelligence and colorectal cancer drug resistance
Sikhumbuzo Z. Mbatha, Rupert Ecker, Zodwa Dlamini
Elsevier eBooks (2024), pp. 323-347
Closed Access
Difference-Deformable Convolution with Pseudo Scale Instance Map for Cell Localization
Chengyang Zhang, Jie Chen, Bo Li, et al.
(2023)
Open Access | Times Cited: 1
Nuclei Segmentation using EfficientNetV2 and Convolutional Block Attention Module
Mukul Kadaskar, Nagamma Patil
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 1
Difference-Deformable Convolution with Pseudo Scale Instance Map for Cell Localization
Chengyang Zhang, Jie Chen, Bo Li, et al.
(2023)
Open Access
Page 1

Scroll to top