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:

Digital pathology and computational image analysis in nephropathology
Laura Barisoni, Kyle Lafata, Stephen M. Hewitt, et al.
Nature Reviews Nephrology (2020) Vol. 16, Iss. 11, pp. 669-685
Open Access | Times Cited: 203

Showing 51-75 of 203 citing articles:

The three-dimensional weakly supervised deep learning algorithm for traumatic splenic injury detection and sequential localization: an experimental study
Chi‐Tung Cheng, Hou-Shian Lin, Chih-Po Hsu, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 5, pp. 1115-1124
Open Access | Times Cited: 11
Improvements in digital pathology equipment for renal biopsies: updating the standard model
Vincenzo L’Imperio, Gabriele Casati, Giorgio Cazzaniga, et al.
Journal of Nephrology (2023) Vol. 37, Iss. 1, pp. 221-229
Closed Access | Times Cited: 10
Artificial intelligence across oncology specialties: current applications and emerging tools
John Kang, Kyle Lafata, Ellen Kim, et al.
BMJ Oncology (2024) Vol. 3, Iss. 1, pp. e000134-e000134
Open Access | Times Cited: 3
Cross-modality sub-image retrieval using contrastive multimodal image representations
Eva Breznik, Elisabeth Wetzer, Joakim Lindblad, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
AI Slipping on Tiles: Data Leakage in Digital Pathology
Nicole Bussola, Alessia Marcolini, Valerio Maggio, et al.
Lecture notes in computer science (2021), pp. 167-182
Closed Access | Times Cited: 24
Machine Learning Applications in Nephrology: A Bibliometric Analysis Comparing Kidney Studies to Other Medicine Subspecialities
Ashish Verma, Vipul C. Chitalia, Sushrut S. Waikar, et al.
Kidney Medicine (2021) Vol. 3, Iss. 5, pp. 762-767
Open Access | Times Cited: 23
Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization
Philip Chikontwe, Hyun Jung Sung, Jaehoon Jeong, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102482-102482
Closed Access | Times Cited: 16
A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization
Zhengzi Yi, Caixia Xi, Madhav C. Menon, et al.
Kidney International (2023) Vol. 105, Iss. 2, pp. 281-292
Open Access | Times Cited: 10
Deep Learning Approaches and Applications in Toxicologic Histopathology: Current Status and Future Perspectives
Shima Mehrvar, Lauren E. Himmel, Pradeep Babburi, et al.
Journal of Pathology Informatics (2021) Vol. 12, Iss. 1, pp. 42-42
Open Access | Times Cited: 21
The need for measurement science in digital pathology
Marina Romanchikova, Spencer A. Thomas, Alex Dexter, et al.
Journal of Pathology Informatics (2022) Vol. 13, pp. 100157-100157
Open Access | Times Cited: 14
Artificial Intelligence Assists in the Detection of Blood Vessels in Whole Slide Images: Practical Benefits for Oncological Pathology
Anna A. Timakova, Vladislav Ananev, Alexey Fayzullin, et al.
Biomolecules (2023) Vol. 13, Iss. 9, pp. 1327-1327
Open Access | Times Cited: 8
Automated Digital Quantification of Pulmonary Fibrosis in Human Histopathology Specimens
Lauren C. Testa, Yvon Julé, Linnea Lundh, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 19
Quantification of Glomerular Structural Lesions: Associations With Clinical Outcomes and Transcriptomic Profiles in Nephrotic Syndrome
Jeffrey B. Hodgin, Laura Mariani, Jarcy Zee, et al.
American Journal of Kidney Diseases (2021) Vol. 79, Iss. 6, pp. 807-819.e1
Open Access | Times Cited: 19
Assessing and counteracting fibrosis is a cornerstone of the treatment of CKD secondary to systemic and renal limited autoimmune disorders
Marina de Cos, Marc Xipell, Adriana García‐Herrera, et al.
Autoimmunity Reviews (2021) Vol. 21, Iss. 3, pp. 103014-103014
Closed Access | Times Cited: 18
Integration of artificial intelligence and multi-omics in kidney diseases
Shu‐Feng Zhou, Xuhui Zhong, Lixin Duan
Fundamental Research (2022) Vol. 3, Iss. 1, pp. 126-148
Open Access | Times Cited: 13
The potential of artificial intelligence-based applications in kidney pathology
Roman D. Büllow, Jon N. Marsh, S. Joshua Swamidass, et al.
Current Opinion in Nephrology & Hypertension (2022) Vol. 31, Iss. 3, pp. 251-257
Open Access | Times Cited: 13
Present and future directions in diabetic kidney disease
Christine P. Limonte, Matthias Kretzler, Subramaniam Pennathur, et al.
Journal of Diabetes and its Complications (2022) Vol. 36, Iss. 12, pp. 108357-108357
Open Access | Times Cited: 13
Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules
Satoshi Hara, Emi Haneda, Masaki Kawakami, et al.
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0271161-e0271161
Open Access | Times Cited: 12
Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project
Tarek M. El‐Achkar, Michael T. Eadon, Matthias Kretzler, et al.
American Journal of Kidney Diseases (2023) Vol. 83, Iss. 3, pp. 402-410
Closed Access | Times Cited: 7
Digital Pathology: A Comprehensive Review of Open-Source Histological Segmentation Software
Anna Maria Pavone, Antonino Giulio Giannone, Daniela Cabibi, et al.
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 173-196
Open Access | Times Cited: 2
The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study
Abdou Khadir Dia, Leyla Ebrahimpour, Sevinj Yolchuyeva, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 348-348
Open Access | Times Cited: 2
Renal Pathological Image Classification Based on Contrastive and Transfer Learning
Xinkai Liu, Xin Zhu, Xingjian Tian, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1403-1403
Open Access | Times Cited: 2
Advancements in pathology: Digital transformation, precision medicine, and beyond
S. Ahuja, Sufian Zaheer
Journal of Pathology Informatics (2024) Vol. 16, pp. 100408-100408
Open Access | Times Cited: 2
Artificial Intelligence in Drug Safety and Metabolism
G. Smith
Methods in molecular biology (2021), pp. 483-501
Closed Access | Times Cited: 17
Toward a quantitative method for estimating tumour-stroma ratio in breast cancer using polarized light microscopy
Jillian Sprenger, Ciara Murray, Jigar Lad, et al.
Biomedical Optics Express (2021) Vol. 12, Iss. 6, pp. 3241-3241
Open Access | Times Cited: 16

Scroll to top