Search research articles
Contact Us
Filters
Showing results (1-10 of 12) with videos related to
Page
of 2
Sort By:
Head and Neck Pathology
|
January 8, 2026
An Introduction to Pathology Foundation Models
Brandon Veremis, Shengjia Chen, Gabriele Campanella
Medical Image Analysis
|
April 8, 2019
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem
Ida Häggström, C Ross Schmidtlein, Gabriele Campanella, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
December 16, 2017
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology
Gabriele Campanella, Arjun R Rajanna, Lorraine Corsale, et al.
Langmuir : the ACS Journal of Surfaces and Colloids
|
February 8, 2017
Structural and Thermodynamic Properties of Nanoparticle-Protein Complexes: A Combined SAXS and SANS Study
Francesco Spinozzi, Giacomo Ceccone, Paolo Moretti, et al.
Journal of the American Academy of Dermatology
|
September 14, 2020
A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections
Gabriele Campanella, Kishwer S Nehal, Erica H Lee, et al.
Nature Medicine
|
July 17, 2019
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella, Matthew G Hanna, Luke Geneslaw, et al.
Arxiv
|
March 30, 2026
GOLDMARK: Governed Outcome-Linked Diagnostic Model Assessment Reference Kit
Chad Vanderbilt, Gabriele Campanella, Siddharth Singi, et al.
The Journal of Investigative Dermatology
|
July 15, 2021
Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy
Gabriele Campanella, Cristian Navarrete-Dechent, Konstantinos Liopyris, et al.
Nature Communications
|
April 16, 2025
A clinical benchmark of public self-supervised pathology foundation models
Gabriele Campanella, Shengjia Chen, Manbir Singh, et al.
The Lancet. Digital Health
|
December 22, 2023
Deep learning for [<sup>18</sup>F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis
Ida Häggström, Doris Leithner, Jennifer Alvén, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Head and Neck Pathology
|
January 8, 2026
An Introduction to Pathology Foundation Models
Brandon Veremis, Shengjia Chen, Gabriele Campanella
Medical Image Analysis
|
April 8, 2019
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem
Ida Häggström, C Ross Schmidtlein, Gabriele Campanella, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
December 16, 2017
Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology
Gabriele Campanella, Arjun R Rajanna, Lorraine Corsale, et al.
Langmuir : the ACS Journal of Surfaces and Colloids
|
February 8, 2017
Structural and Thermodynamic Properties of Nanoparticle-Protein Complexes: A Combined SAXS and SANS Study
Francesco Spinozzi, Giacomo Ceccone, Paolo Moretti, et al.
Journal of the American Academy of Dermatology
|
September 14, 2020
A deep learning algorithm with high sensitivity for the detection of basal cell carcinoma in Mohs micrographic surgery frozen sections
Gabriele Campanella, Kishwer S Nehal, Erica H Lee, et al.
Nature Medicine
|
July 17, 2019
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella, Matthew G Hanna, Luke Geneslaw, et al.
Arxiv
|
March 30, 2026
GOLDMARK: Governed Outcome-Linked Diagnostic Model Assessment Reference Kit
Chad Vanderbilt, Gabriele Campanella, Siddharth Singi, et al.
The Journal of Investigative Dermatology
|
July 15, 2021
Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy
Gabriele Campanella, Cristian Navarrete-Dechent, Konstantinos Liopyris, et al.
Nature Communications
|
April 16, 2025
A clinical benchmark of public self-supervised pathology foundation models
Gabriele Campanella, Shengjia Chen, Manbir Singh, et al.
The Lancet. Digital Health
|
December 22, 2023
Deep learning for [<sup>18</sup>F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis
Ida Häggström, Doris Leithner, Jennifer Alvén, et al.
Page
of 2