11 – 20 of 49
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2021
-
Mark
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
(2021) Medical Imaging 2021: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11597.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2020
-
Mark
Predicting the deposition spot radius and the nanoparticle concentration distribution in an electrostatic precipitator
- Contribution to journal › Article
-
Mark
The compositional homogeneity of the metal particle during vapor–liquid–solid growth of nanowires
- Contribution to journal › Article
-
Mark
Domain-adversarial neural network for improved generalization performance of gleason grade classification
(2020) Medical Imaging 2020: Digital Pathology In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11320.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Prediction of obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
(2020) 25th International Conference on Pattern Recognition, ICPR 2020 In Proceedings - International Conference on Pattern Recognition p.4442-4449
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2019
-
Mark
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
On the Taut String Interpretation and Other Properties of the Rudin–Osher–Fatemi Model in One Dimension
- Contribution to journal › Article
-
Mark
Comparison of different augmentation techniques for improved generalization performance for gleason grading
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
-
Mark
Generalization of prostate cancer classification for multiple sites using deep learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
On the taut string interpretation of the one-dimensional rudin–osher–fatemi model
(2018) 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018 p.233-244
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
