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Daniel Borders
Observed name:
Borders, Daniel
Institution:
PathAI (United States)
Observed institutions:
Johns Hopkins University,
PathAI (United States)
ORCID:
0000-0003-1820-7950
Observed ORCID:
0000-0003-1820-7950
OpenAlex ID:
A5046003519
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
2019
·
Faisal Mahmood
, Daniel Borders
, et al.
·
IEEE Transactions on Medical Imaging
·
365
PLUTO: Pathology-Universal Transformer
2024
·
Juyal, Dinkar
, Padigela, Harshith
, et al.
·
arXiv (Cornell University)
·
31
PDF
Polyp segmentation and classification using predicted depth from monocular endoscopy
2019
·
Faisal Mahmood
, Ziyun Yang
, et al.
·
SPIE Medical Imaging: Computer-Aided Diagnosis
·
21
Improved statistical benchmarking of digital pathology models using pairwise frames evaluation
2023
·
Gerardin, Ylaine
, Shamshoian, John
, et al.
·
arXiv (Cornell University)
·
7
PDF
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
Adversarial U-net with spectral normalization for multi-organ histopathology image segmentation
2019
·
Faisal Mahmood
, Richard Chen
, et al.
·
SPIE Medical Imaging: Digital and Computational Pathology
·
4
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
73 Quantifying the effect of microsatellite instability and mismatch repair deficiency on the tumor microenvironment
2023
·
Jake Conway
, Daniel Borders
, et al.
·
Journal for ImmunoTherapy of Cancer
·
1
PDF
122 Quantification of tumor infiltrating lymphocytes (TILs) from pathology slides reflects molecular immune phenotypes
2023
·
Ciyue Shen
, Shima Nofallah
, et al.
·
Journal for ImmunoTherapy of Cancer
·
1
PDF
Robust photometric stereo endoscopy via deep learning trained on synthetic data (Conference Presentation)
2019
·
Faisal Mahmood
, Daniel Borders
, et al.
·
Multimodal Biomedical Imaging
·
1
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Works count:
10
Citation count:
439
H-index:
5
I10-index:
3
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