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A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics 13, no. 14 (2023).
Journal Article
2023
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A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen

Automating tracking of cell division for human embryo development in time lapse videos

Human Reproduction 37, no. Supplement_1 (2022).
Journal Article
2022
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P. Salehi, S. Z. Hassan, M. Lammerse, S. S. Sabet, I. Riiser, R. K. Røed, M. S. Johnson, V. Thambawita, S. Hicks, M. Powell et al.

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children

Big Data and Cognitive Computing 6, no. 2 (2022): 62.
Journal Article
2022
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S. Hicks, V. Thambawita, A. Storås, T. B. Haugen, H. L. Hammer, P. Halvorsen, M. Riegler and M. H. Stensen

Automatic Tracking of the ICSI procedure using Deep Learning

Human Reproduction 37, no. Supplement_1 (2022).
Journal Article
2022
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16 December 2021
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First PhD Graduate from Engineering Science at OsloMet and SimulaMet

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2023

Journal articles

A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics 13, no. 14 (2023).
Status: Published
2022

Journal articles

S. Hicks, V. Thambawita, A. Storås, T. B. Haugen, H. L. Hammer, P. Halvorsen, M. Riegler and M. H. Stensen

Automatic Tracking of the ICSI procedure using Deep Learning

Human Reproduction 37, no. Supplement_1 (2022).
Status: Published
S. Hicks, I. Strümke, V. Thambawita, M. Hammou, M. Riegler, P. Halvorsen and S. Parasa

On evaluation metrics for medical applications of artificial intelligence

Scientific Reports 12 (2022): 1-9.
Status: Published
R. Khadka, D. Jha, S. Hicks, V. Thambawita, M. Riegler, S. Ali and P. Halvorsen

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation

Computers in Biology and Medicine 143 (2022): 105227.
Status: Published
P. Salehi, S. Z. Hassan, M. Lammerse, S. S. Sabet, I. Riiser, R. K. Røed, M. S. Johnson, V. Thambawita, S. Hicks, M. Powell et al.

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children

Big Data and Cognitive Computing 6, no. 2 (2022): 62.
Status: Published
A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen

Automating tracking of cell division for human embryo development in time lapse videos

Human Reproduction 37, no. Supplement_1 (2022).
Status: Published
V. Thambawita, S. Hicks, A. Storås, O. Witczak, J. M. Andersen, H. L. Hammer, P. Halvorsen, M. Riegler and H. B. Trine

Real-time deep learning based multi object tracking of spermatozoa in fresh samples

Human Reproduction 37, no. Supplement_1, July 2022, deac107.104 (2022).
Status: Published
V. Thambawita, P. Salehi, S. A. Sheshkal, S. Hicks, H. L. Hammer, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler

SinGAN-Seg: Synthetic training data generation for medical image segmentation

PLOS ONE 17, no. 5 (2022): e0267976.
Status: Published
2021

Journal articles

S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, B. Singstad, S. Gaur, K. Pettersen, M. Goodwin, S. Parasa, T. de Lange et al.

MedAI: Transparency in Medical Image Segmentation

Nordic Machine Intelligence 1, no. 1 (2021): 1-4.
Status: Published
S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen et al.

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Scientific Reports 11 (2021): 10949.
Status: Published