- vajira@simula.no
Publications
2024
Journal Articles
S. Ali, N. Ghatwary, D. Jha, E. Isik-Polat, G. Polat, C. Yang, W. Li, A. Galdran, M. G. Ballester, V. Thambawita, S. Hicks, S. Poudel, S. Lee, Z. Jin, T. Gan, C. Yu, J. Yan, D. Yeo, H. Lee, N. KumarTomar, M. Haithami, A. Ahmed, M. Riegler, C. Daul, P. Halvorsen, J. Rittscher, O. E. Salem, D. Lamarque, R. Cannizzaro, S. Realdon, T. de Lange and J. E. East
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Scientific Reports
2023
Journal Articles
A. A. Outa, S. Hicks, V. Thambawita, S. Andresen, J. M. Enserink, P. Halvorsen, M. Riegler and H. Knævelsrud
CELLULAR, A Cell Autophagy Imaging Dataset
Scientific Data
V. Thambawita, S. Hicks, A. Storås, T. Nguyen, J. M. Andersen, O. Witczak, T. B. Haugen, H. L. Hammer, P. Halvorsen and M. Riegler
VISEM-Tracking, a human spermatozoa tracking dataset
Scientific Data
V. Monakhov, V. Thambawita, P. Halvorsen and M. Riegler
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos
Sensors
A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen and M. Riegler
Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis
Diagnostics
Proceedings, refereed
B. Ionescu, M. Riegler, P. Halvorsen, S. Hicks, V. Thambawita, A. Storås and e. al.
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications
Advances in Information Retrieval. ECIR 2023
A. K. Pishva, V. Thambawita, J. Torresen and S. Hicks
RePolyp: A Framework for Generating Realistic Colon Polyps with Corresponding Segmentation Masks using Diffusion Models
2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)
R. Machacek, L. Mozaffari, Z. Sepasdar, S. Parasa, P. Halvorsen, M. Riegler and V. Thambawita
Mask-conditioned latent diffusion for generating gastrointestinal polyp images
ICDAR '23: Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval
V. Thambawita, A. Storås, S. Hicks, P. Halvorsen and M. Riegler
MLC at HECKTOR 2022: The Effect and Importance of Training Data When Analyzing Cases of Head and Neck Tumors Using Machine Learning
Head and Neck Tumor Segmentation and Outcome Prediction. HECKTOR 2022
T. Nguyen, A. Storås, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler
Multimedia datasets: challenges and future possibilities
MultiMedia Modeling. MMM 2023
M. Riegler, V. Thambawita, A. Chatterjee, T. Nguyen, S. Hicks, V. Telle-Hansen, S. A. Pettersen, D. Johansen, R. Jain and P. Halvorsen
ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset
International Conference on Multimedia Modeling (MMM)
2022
Journal Articles
P. Salehi, S. Z. Hassan, M. Lammerse, S. S. Sabet, I. Riiser, R. K. Røed, M. S. Johnson, V. Thambawita, S. Hicks, M. Powell, M. E. Lamb, G. A. Baugerud, P. Halvorsen and M. Riegler
Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children
Big Data and Cognitive Computing
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
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
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
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
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
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
Proceedings, refereed
V. Thambawita, S. Hicks, A. Storås, J. M. Andersen, O. Witczak, T. B. Haugen, H. L. Hammer, T. Nguyen, P. Halvorsen and M. Riegler
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa
MediaEval 2022
B. Torpmann-Hagen, V. Thambawita, K. Glette, P. Halvorsen and M. Riegler
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation
2022 IEEE International Symposium on Multimedia (ISM)
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
J. A. Fageren, V. Thambawita, A. Storås, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps
IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)
T. S. Nordmo, A. B. Ovesen, B. A. Juliussen, S. Hicks, V. Thambawita, H. D. Johansen, P. Halvorsen, M. Riegler and D. Johansen
Njord: a fishing trawler dataset
Proceedings of the 13th ACM Multimedia Systems Conference (MMSYS)
A. Storås, M. Riegler, T. B. Haugen, V. Thambawita, S. Hicks, H. L. Hammer, R. Kakulavarapu, P. Halvorsen and M. Stensen
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure
NAIS: Symposium of the Norwegian AI Society
Book Chapters
V. Thambawita, S. Hicks, E. Jaouen, P. Halvorsen and M. Riegler
Smittestopp analytics: Analysis of position data
Smittestopp − A Case Study on Digital Contact Tracing
Miscellaneous
C. Midoglu, S. Hicks, V. Thambawita, T. Kupka and P. Halvorsen
MMSys'22 Grand Challenge on AI-based Video Production for Soccer
2021
Journal Articles
J. O. Valand, H. Kadragic, S. Hicks, V. Thambawita, C. Midoglu, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen
AI-Based Video Clipping of Soccer Events
Machine Learning and Knowledge Extraction
O. A. N. Rongved, M. Stige, S. Hicks, V. Thambawita, C. Midoglu, E. Zouganeli, D. Johansen, M. Riegler and P. Halvorsen
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities
Machine Learning and Knowledge Extraction
V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, I. Strümke, H. L. Hammer, M. Maleckar, P. Halvorsen, M. Riegler and J. K. Kanters
DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine
Scientific Reports
V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, I. Strümke, H. L. Hammer, M. Maleckar, P. Halvorsen, M. Riegler and J. K. Kanters
DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
Nature Scientific Reports
V. Thambawita, I. Strümke, S. Hicks, P. Halvorsen, S. Parasa and M. Riegler
Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images
Diagnostics
S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, B. Singstad, S. Gaur, K. Pettersen, M. Goodwin, S. Parasa, T. de Lange and M. Riegler
MedAI: Transparency in Medical Image Segmentation
Nordic Machine Intelligence
O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, C. Midoglu, M. Riegler and P. Halvorsen
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events
International Journal of Semantic Computing
D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig, M. Tran, W. Meng, T. Hoang, D. Dias, T. H. Ko, T. Agrawal, O. Ostroukhova, Z. Khan, M. A. Tahir, Y. Liu, Y. Chang, M. Kirkerød, D. Johansen, M. Lux, H. D. Johansen, M. Riegler and P. Halvorsen
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
Medical Image Analysis
S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, P. Halvorsen, M. Maleckar, M. Riegler and J. K. Kanters
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
Scientific Reports
P. H. Smedsrud, V. Thambawita, S. Hicks, H. Gjestang, O. O. Nedrejord, E. Næss, H. Borgli, D. Jha, T. J. D. Berstad, S. L. Eskeland, M. Lux, H. Espeland, A. Petlund, D. T. D. Nguyen, E. Garcia-Ceja, D. Johansen, P. T. Schmidt, E. Toth, H. L. Hammer, T. de Lange, M. Riegler and P. Halvorsen
Kvasir-Capsule, a video capsule endoscopy dataset
Scientific Data
Proceedings, refereed
N. P. P. TzavaraTzavara and B. Singstad
Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images
Nordic Machine Intelligence
S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation
Mediaeval Medico 2021
J. Valand, H. Kadragic, S. Hicks, V. Thambawita, C. Midoglu, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen
Automated Clipping of Soccer Events using Machine Learning
IEEE International Symphosium of Multimedia (ISM)
G. A. Baugerud, M. S. Johnson, R. K. Røed, M. E. Lamb, M. Powell, V. Thambawita, S. Hicks, P. Salehi, S. Z. Hassan, P. Halvorsen and M. Riegler
Multimodal Virtual Avatars for Investigative Interviews with Children
Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR '21)
V. Thambawita, T. B. Haugen, M. Stensen, O. Witczak, H. L. Hammer, P. Halvorsen and M. Riegler
Identification of spermatozoa by unsupervised learning from video data
37th Virtual Annual Meeting of the European Society of Human Reproduction and Embryology (ESHRE)
V. Thambawita, I. Strümke, S. Hicks, M. Riegler, P. Halvorsen and S. Parasa
Data Augmentation Using Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images
DDW 2021
V. Thambawita, S. Hicks, I. Strümke, M. Riegler, P. Halvorsen and S. Parasa
Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy
DDW 2021
V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler
DivergentNets: Medical Image Segmentation by Network Ensemble
EndoCV
V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen, H. L. Hammer, P. Halvorsen and M. Riegler
DeepSynthBody: the beginning of the end for data deficiency in medicine
The International Conference on Applied Artificial Intelligence (ICAPAI)
Book Chapters
I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen
Artificial Intelligence in Gastroenterology
Artificial Intelligence in Medicine
PhD Thesis
V. Thambawita
DeepSynthBody: the beginning of the end for data deficiency in medicine
Oslo Metropolitan University
2020
Proceedings, refereed
D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen, D. Johansen and P. Halvorsen
Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
International Conference on Multimedia Modeling
S. Hicks, V. Thambawita, H. L. Hammer, T. B. Haugen, J. M. Andersen, O. Witczak, P. Halvorsen and M. Riegler
ACM Multimedia BioMedia 2020 Grand Challenge Overview
Proceedings of the 28th ACM International Conference on Multimedia
O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, M. Riegler and P. Halvorsen
Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks
2020 IEEE International Symposium on Multimedia (ISM)