Albert Juan Ramon

Medicine · Health Sciences

8h-index235citations25works2.62yr avg
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Research Topics

Medical Imaging Techniques and Applications(12), Advanced MRI Techniques and Applications(11), Cardiac Imaging and Diagnostics(10), AI in cancer detection(6), Radiomics and Machine Learning in Medical Imaging(6)

Publications25 total

Fast, Unsupervised Framework for Registration Quality Assessment of Multi-stain Histological Whole Slide Pairs
ArXiv.org·2026Open Access
Fast, Unsupervised Framework for Registration Quality Assessment of Multi-stain Histological Whole Slide Pairs
arXiv (Cornell University)·2026Open Access
1766eP Deep learning-based digital pathology algorithm overcomes tumor content limitations for FGFR alteration detection in non-muscle invasive bladder cancer
Annals of Oncology·2025
Inferring FGFR status from H&E images using digital pathology to identify patients for early-stage bladder cancer targeted therapies.
Journal of Clinical Oncology·2025
Abstract 2445: Extending ENPP3 expression inference from tissue microarrays to whole tissue sections: building a case for automated patient enrichment and IHC scoring
Cancer Research·2025
Estimation of overall survival in immunotherapy-treated bladder cancer using computer vision.
Journal of Clinical Oncology·2025
1202P A deep learning approach using routine pathology images to guide precision medicine in metastatic CRC
Annals of Oncology·2024Open Access
Development and deployment of a histopathology-based deep learning algorithm for patient prescreening in a clinical trial
Nature Communications·2024· 23 citedOpen Access
Inferring PDL-1 status from H&E images using digital pathology to identify patients responsive to anti-PD(L)-1 immuno-oncology therapy for bladder cancer trials.
Journal of Clinical Oncology·2024
Generalizable FGFR prediction across tumor types using self supervised learning.
Journal of Clinical Oncology·2023· 2 cited
Accelerating pharmaceutical R&D with a user-friendly AI system for histopathology image analysis
Journal of Pathology Informatics·2023· 8 citedOpen Access
Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks
IEEE Transactions on Medical Imaging·2020· 91 citedOpen Access
Retrospective fractional dose reduction in Tc-99m cardiac perfusion SPECT/CT patients: A human and model observer study
Journal of Nuclear Cardiology·2019· 7 citedOpen Access
Personalized Models for Injected Activity Levels in SPECT Myocardial Perfusion Imaging
IEEE Transactions on Medical Imaging·2018· 9 citedOpen Access
Evaluation of the effect of reducing administered activity on assessment of function in cardiac gated SPECT
Journal of Nuclear Cardiology·2018· 10 citedOpen Access
Initial Investigation of Low-Dose SPECT-MPI via Deep Learning
2018· 24 cited
Effect of Respiratory Motion Correction in Perfusion Spect Imaging
2018
Improving perfusion defect detection with respiratory motion correction in cardiac SPECT at standard and reduced doses
Journal of Nuclear Cardiology·2018· 8 citedOpen Access
Improving perfusion defect detection with respiratory motion compensation in cardiac SPECT
2018· 1 cited
Receiver Operator Characteristic Confirmation of Potential for Radiation Dose Reduction with Improved Reconstruction for Cardiac SPECT
2017· 1 cited
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Frequent Co-authors

Michael A. King(12), Miles N. Wernick(12), Yongyi Yang(11), P. Hendrik Pretorius(11), Karen L. Johnson(10), Joel Greshock(8), Kristopher Standish(8), Chaitanya Parmar(7), Piotr J. Slomka(5), Nicole L. Stone(4), Spyros Triantos(4), Neil Beeharry(4), Patricia Raciti(3), Chao Song(3), Brandon Ginley(3), Oscar Carrasco‐Zevallos(2), Carlos Csiszer(2), Stephen Yip(2), Tommaso Mansi(2), Arda Könik(2)