
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:
3D fluorescence microscopy data synthesis for segmentation and benchmarking
Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, et al.
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0260509-e0260509
Open Access | Times Cited: 14
Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, et al.
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0260509-e0260509
Open Access | Times Cited: 14
Showing 14 citing articles:
Denoising diffusion probabilistic models for 3D medical image generation
Firas Khader, Gustav Müller‐Franzes, Soroosh Tayebi Arasteh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 114
Firas Khader, Gustav Müller‐Franzes, Soroosh Tayebi Arasteh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 114
Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets
Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011890-e1011890
Open Access | Times Cited: 15
Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011890-e1011890
Open Access | Times Cited: 15
AnyStar: Domain randomized universal star-convex 3D instance segmentation
Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7578-7588
Open Access | Times Cited: 8
Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7578-7588
Open Access | Times Cited: 8
Improving 3D deep learning segmentation with biophysically motivated cell synthesis
Roman Bruch, Mario Vitacolonna, Elina Nürnberg, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Roman Bruch, Mario Vitacolonna, Elina Nürnberg, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images
Jeremiah Riendeau, Amani A. Gillette, Emmanuel Contreras Guzman, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Jeremiah Riendeau, Amani A. Gillette, Emmanuel Contreras Guzman, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A general algorithm for consensus 3D cell segmentation from 2D segmented stacks
Felix Zhou, Clarence Yapp, Zhiguo Shang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Felix Zhou, Clarence Yapp, Zhiguo Shang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking
Roman Bruch, Florian Keller, Moritz Böhland, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0283828-e0283828
Open Access | Times Cited: 6
Roman Bruch, Florian Keller, Moritz Böhland, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0283828-e0283828
Open Access | Times Cited: 6
Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images
Jeremiah Riendeau, Amani A. Gillette, Emmanuel Contreras Guzman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Jeremiah Riendeau, Amani A. Gillette, Emmanuel Contreras Guzman, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Differentiable Rendering for 3D Fluorescence Microscopy
Sacha Ichbiah, Fabrice Delbary, Hervé Turlier
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Sacha Ichbiah, Fabrice Delbary, Hervé Turlier
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Open-Source Biomedical Image Analysis Models: A Meta-Analysis and Continuous Survey
Rui Li, Vaibhav Sharma, Subasini Thangamani, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 2
Rui Li, Vaibhav Sharma, Subasini Thangamani, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 2
Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data
Dennis Eschweiler, Justus Schock, Johannes Stegmaier
Lecture notes in computer science (2022), pp. 24-33
Closed Access | Times Cited: 2
Dennis Eschweiler, Justus Schock, Johannes Stegmaier
Lecture notes in computer science (2022), pp. 24-33
Closed Access | Times Cited: 2
Prediction of Fluorescent Ki67 Staining in 3D Tumor Spheroids
Roman Bruch, Mario Vitacolonna, Rüdiger Rudolf, et al.
Current Directions in Biomedical Engineering (2022) Vol. 8, Iss. 2, pp. 305-308
Open Access | Times Cited: 1
Roman Bruch, Mario Vitacolonna, Rüdiger Rudolf, et al.
Current Directions in Biomedical Engineering (2022) Vol. 8, Iss. 2, pp. 305-308
Open Access | Times Cited: 1
Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation
Moritz Böhland, Roman Bruch, Simon Bäuerle, et al.
IEEE Access (2023) Vol. 11, pp. 127895-127906
Open Access
Moritz Böhland, Roman Bruch, Simon Bäuerle, et al.
IEEE Access (2023) Vol. 11, pp. 127895-127906
Open Access
Deep Learning Techniques for 3D-Volumetric Segmentation of Biomedical Images
Sikandar Afridi, Muhammad Irfan Khattak, Muhammad Abeer Irfan, et al.
Studies in computational intelligence (2023), pp. 1-41
Closed Access
Sikandar Afridi, Muhammad Irfan Khattak, Muhammad Abeer Irfan, et al.
Studies in computational intelligence (2023), pp. 1-41
Closed Access