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OpenAlex Citation Counts

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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:

Benchmarking saliency methods for chest X-ray interpretation
Adriel Saporta, Xiaotong Gui, Ashwin Agrawal, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 10, pp. 867-878
Open Access | Times Cited: 108

Showing 76-100 of 108 citing articles:

Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Human-Centred Multimodal Deep Learning Models for Chest X-Ray Diagnosis
Chihcheng Hsieh
(2023), pp. 7085-7086
Open Access | Times Cited: 1
Artificial Intelligence Reveals Distinct Prognostic Subgroups of Muscle-Invasive Bladder Cancer on Histology Images
Okyaz Eminağa, Sami‐Ramzi Leyh‐Bannurah, Shahrokh F. Shariat, et al.
Cancers (2023) Vol. 15, Iss. 20, pp. 4998-4998
Open Access | Times Cited: 1
Topological structure of complex predictions
Meng Liu, Tamal K. Dey, David F. Gleich
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1382-1389
Open Access | Times Cited: 1
Artificial Intelligence Research in Radiation Oncology: A Practical Guide for the Clinician on Concepts and Methods
Frank Hoebers, Leonard Wee, Jirapat Likitlersuang, et al.
BJR|Open (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Prompt-driven Healthy/Diseased Image Pairs Enabling Pixel-level Chest X-ray Pathology Localization
Jinli Suo, Kaiming Dong, Yuxiao Cheng, et al.
Research Square (Research Square) (2024)
Open Access
A Two-Stage Weakly Supervised Learning Salient Object Detection Method Based on Multi-Source Fusion
Tie Liu, Handan Zhang, Zhuhong Shao, et al.
(2024)
Closed Access
Gradient-Based Saliency Maps Are Not Trustworthy Visual Explanations of Automated AI Musculoskeletal Diagnoses
Kesavan Venkatesh, Simukayi Mutasa, Fletcher Moore, et al.
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2490-2499
Open Access
EyeXNet: Enhancing Abnormality Detection and Diagnosis via Eye-Tracking and X-ray Fusion
Chihcheng Hsieh, André Luís, José Neves, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 1055-1071
Open Access
CNN-Based Explanation Ensembling for Dataset, Representation and Explanations Evaluation
Weronika Hryniewska-Guzik, Luca Longo, Przemysław Biecek
Communications in computer and information science (2024), pp. 346-368
Closed Access
Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling
Julius Gervelmeyer, Sarah Müller, Kerol Djoumessi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Estimating uncertainty of geographic atrophy segmentations with Bayesian deep learning
Theodore Spaide, Anand E. Rajesh, Nayoon Gim, et al.
Ophthalmology Science (2024) Vol. 5, Iss. 1, pp. 100587-100587
Open Access
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes
Poulami Sinhamahapatra, Suprosanna Shit, Anjany Sekuboyina, et al.
The Journal of Machine Learning for Biomedical Imaging (2024) Vol. 2, Iss. July 2024, pp. 977-1002
Open Access
Evaluating Visual Explainability in Chest X-Ray Pathology Detection
Pedro Pereira, Joana Rocha, João Pedrosa, et al.
(2024), pp. 1116-1121
Closed Access
Computational approaches to the figurative and plastic dimensions of images
Dario Compagno
Visual Communication (2024) Vol. 23, Iss. 3, pp. 452-472
Closed Access
Weakly Supervised Zero-Shot Medical Image Segmentation Using Pretrained Medical Language Models
Danfeng Guo, Demetri Terzopoulos
(2024), pp. 1-5
Closed Access
Visual interpretation of deep learning model in ECG classification: A comprehensive evaluation of feature attribution methods
Jangwon Suh, Jimyeong Kim, Soonil Kwon, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109088-109088
Closed Access
Development and validation of a deep learning model for detecting signs of tuberculosis on chest radiographs among US-bound immigrants and refugees
Scott Lee, Shannon Fox, Raheem Smith, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 9, pp. e0000612-e0000612
Open Access
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
Manish Dhakal, Rabin Adhikari, Safal Thapaliya, et al.
Lecture notes in computer science (2024), pp. 712-722
Closed Access
Interpretable-by-Design Deep Survival Analysis for Disease Progression Modeling
Julius Gervelmeyer, Sarah Müller, Kerol Djoumessi, et al.
Lecture notes in computer science (2024), pp. 502-512
Closed Access
Anatomically-Guided Inpainting for Local Synthesis of Normal Chest Radiographs
João Pedrosa, Sofia Cardoso Pereira, Joana Silva, et al.
Lecture notes in computer science (2024), pp. 33-42
Closed Access
Influence of hair presence on dermoscopic image analysis by AI in skin lesion diagnosis
Zheng Wang, Xue Yang, Haonan Xi, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109335-109335
Closed Access
Sex differences in brain MRI using deep learning toward fairer healthcare outcomes
Mahsa Dibaji, Johanna M. Ospel, Roberto Souza, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-ray Pathology Detection: Algorithm Development and Validation Study (Preprint)
Hongbo Chen, Myrtede Alfred, Andrew D. Brown, et al.
(2024)
Closed Access
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models
Rabin Adhikari, Safal Thapaliya, Manish Dhakal, et al.
Lecture notes in computer science (2024), pp. 44-62
Closed Access

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