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Qasim Wani
Institution:
PathAI (United States)
Observed institutions:
PathAI (United States),
Virginia Tech
ORCID:
0000-0003-1648-4145
Observed ORCID:
0000-0003-1648-4145
OpenAlex ID:
A5091189989
A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classification
2024
·
Michael Griffin
, Aaron M. Gruver
, et al.
·
Scientific Reports
·
6
PDF
Tu1352 FULLY AUTOMATED HISTOLOGICAL CLASSIFICATION OF CELL TYPES AND TISSUE REGIONS OF CELIAC DISEASE IS FEASIBLE AND CORRELATES WITH THE MARSH SCORE
2023
·
Michael Griffin
, Aaron M. Gruver
, et al.
·
Gastroenterology
·
2
PDF
THU-203 Integrated spatial transcriptomics and machine learning derived histopathology measurements in steatotic liver disease unmasks biological heterogeneity of steatosis
2024
·
Carlo Sala Frigerio
, Crysthiane Ishiy
, et al.
·
Journal of Hepatology
·
1
Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks
2022
·
Feras A. Batarseh
, Dominick Perini
, et al.
·
Lecture notes in computer science
·
1
Technology Policy Recommendations Using Artificial Intelligence
2021
·
Feras A. Batarseh
, Ashita Anuga
, et al.
·
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
·
1
PDF
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Works count:
5
Citation count:
11
H-index:
2
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