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:

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

Showing 13 citing articles:

A novel dataset for nuclei and tissue segmentation in melanoma with baseline nuclei segmentation and tissue segmentation benchmarks
Mark Schuiveling, Hong Liu, Daniel Eek, et al.
GigaScience (2025) Vol. 14
Open Access | Times Cited: 1
A Foundation Model for Cell Segmentation
Uriah Israel, Markus Marks, Rohit Dilip, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 16
Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
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
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
SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology
Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko
Lecture notes in computer science (2024), pp. 542-551
Closed Access | Times Cited: 1
Classification of Human Tissues from Histopathology Images Using Deep Learning Techniques
Arvind Ramanathan, Trilok Kantheti, Chen Zhou, et al.
(2024), pp. 1-5
Closed Access
A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation
Isabella Poles, Eleonora D’Arnese, Mirko Coggi, et al.
(2024), pp. 1-4
Closed Access
Enhancing Nuclei Segmentation in Histology Images by Effectively Merging Task-Specific and Foundation Models
Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko
Journal of Multimedia Information System (2024) Vol. 11, Iss. 4, pp. 219-228
Open Access
NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain Transfer
Sai Kumar Reddy Manne, Brendan Martin, Tyler Roy, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024), pp. 6926-6935
Closed Access
CellBinDB: A Large-Scale Multimodal Annotated Dataset for Cell Segmentation with Benchmarking of Universal Models
Can Shi, Jinghong Fan, Zhonghan Deng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Weakly Supervised Instance Segmentation in Aerial Images via Comprehensive Spatial Adaptation
Jingting Xu, Peng Luo, Dejun Mu
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4757-4757
Open Access
Page 1

Scroll to top