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:
Deep residual Hough voting for mitotic cell detection in histopathology images
Thomas Wollmann, K. Rohr
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2017) Vol. 15, pp. 341-344
Closed Access | Times Cited: 14
Thomas Wollmann, K. Rohr
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2017) Vol. 15, pp. 341-344
Closed Access | Times Cited: 14
Showing 14 citing articles:
Digital image analysis in breast pathology—from image processing techniques to artificial intelligence
Stephanie Robertson, Hossein Azizpour, Kevin Smith, et al.
Translational research (2017) Vol. 194, pp. 19-35
Open Access | Times Cited: 272
Stephanie Robertson, Hossein Azizpour, Kevin Smith, et al.
Translational research (2017) Vol. 194, pp. 19-35
Open Access | Times Cited: 272
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, et al.
Medical Image Analysis (2019) Vol. 54, pp. 111-121
Open Access | Times Cited: 261
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, et al.
Medical Image Analysis (2019) Vol. 54, pp. 111-121
Open Access | Times Cited: 261
GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation
Thomas Wollmann, Manuel Gunkel, I‐Fang Chung, et al.
Medical Image Analysis (2019) Vol. 56, pp. 68-79
Closed Access | Times Cited: 54
Thomas Wollmann, Manuel Gunkel, I‐Fang Chung, et al.
Medical Image Analysis (2019) Vol. 56, pp. 68-79
Closed Access | Times Cited: 54
Assessment of Breast Cancer Histology Using Densely Connected Convolutional Networks
Matthias Kohl, Christoph Walz, F. Ludwig, et al.
Lecture notes in computer science (2018), pp. 903-913
Closed Access | Times Cited: 42
Matthias Kohl, Christoph Walz, F. Ludwig, et al.
Lecture notes in computer science (2018), pp. 903-913
Closed Access | Times Cited: 42
Efficient automated detection of mitotic cells from breast histological images using deep convolution neutral network with wavelet decomposed patches
Dev Kumar Das, Pranab Kumar Dutta
Computers in Biology and Medicine (2018) Vol. 104, pp. 29-42
Closed Access | Times Cited: 32
Dev Kumar Das, Pranab Kumar Dutta
Computers in Biology and Medicine (2018) Vol. 104, pp. 29-42
Closed Access | Times Cited: 32
Computational methods for automated mitosis detection in histopathology images: A review
Tojo Mathew, Jyoti Kini, Jeny Rajan
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 64-82
Closed Access | Times Cited: 27
Tojo Mathew, Jyoti Kini, Jeny Rajan
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 64-82
Closed Access | Times Cited: 27
SmallMitosis: Small Size Mitotic Cells Detection in Breast Histopathology Images
Tasleem Kausar, Mingjiang Wang, Muhammad Adnan Ashraf, et al.
IEEE Access (2020) Vol. 9, pp. 905-922
Open Access | Times Cited: 24
Tasleem Kausar, Mingjiang Wang, Muhammad Adnan Ashraf, et al.
IEEE Access (2020) Vol. 9, pp. 905-922
Open Access | Times Cited: 24
Deep learning‐based automated mitosis detection in histopathology images for breast cancer grading
Tojo Mathew, B. Ajith, Jyoti Kini, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 4, pp. 1192-1208
Closed Access | Times Cited: 12
Tojo Mathew, B. Ajith, Jyoti Kini, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 4, pp. 1192-1208
Closed Access | Times Cited: 12
Automated knowledge-assisted mitosis cells detection framework in breast histopathology images
Xiao Jian Tan, Nazahah Mustafa, Mohd Yusoff Mashor, et al.
Mathematical Biosciences & Engineering (2021) Vol. 19, Iss. 2, pp. 1721-1745
Open Access | Times Cited: 10
Xiao Jian Tan, Nazahah Mustafa, Mohd Yusoff Mashor, et al.
Mathematical Biosciences & Engineering (2021) Vol. 19, Iss. 2, pp. 1721-1745
Open Access | Times Cited: 10
Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: A Comprehensive Review
Nassima Dif, Zakaria Elberrichi
Lecture notes in computer science (2020), pp. 279-306
Closed Access | Times Cited: 6
Nassima Dif, Zakaria Elberrichi
Lecture notes in computer science (2020), pp. 279-306
Closed Access | Times Cited: 6
A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting
Saeed Alahmari, Dmitry B. Goldgof, Lawrence Hall, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7458-7477
Closed Access | Times Cited: 4
Saeed Alahmari, Dmitry B. Goldgof, Lawrence Hall, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7458-7477
Closed Access | Times Cited: 4
Robust cell particle detection to dense regions and subjective training samples based on prediction of particle center using convolutional neural network
Kenshiro Nishida, Kazuhiro Hotta
PLoS ONE (2018) Vol. 13, Iss. 10, pp. e0203646-e0203646
Open Access | Times Cited: 3
Kenshiro Nishida, Kazuhiro Hotta
PLoS ONE (2018) Vol. 13, Iss. 10, pp. e0203646-e0203646
Open Access | Times Cited: 3
HybridNet: Integrating Multiple Approaches for Aerial Semantic Segmentation
Avinash Chouhan, Arijit Sur, Dibyajyoti Chutia, et al.
SN Computer Science (2023) Vol. 5, Iss. 1
Closed Access
Avinash Chouhan, Arijit Sur, Dibyajyoti Chutia, et al.
SN Computer Science (2023) Vol. 5, Iss. 1
Closed Access
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks
Matthias Kohl, Christoph Walz, F. Ludwig, et al.
arXiv (Cornell University) (2018)
Closed Access
Matthias Kohl, Christoph Walz, F. Ludwig, et al.
arXiv (Cornell University) (2018)
Closed Access
