Vajira Thambawita

D. Jha, V. Sharma, D. Banik, D. Bhattacharya, K. Roy, S. Hicks, N. K. Tomar, V. Thambawita, A. Krenzer, G. Ji, S. Poudel, G. Batchkala, S. Alam, A. M. Ahmed, Q. Trinh, Z. Khan, T. Nguyen, S. Shrestha, S. Nathan, J. Gwak, R. K. Jha, Z. Zhang, A. Schlaefer, D. Bhattacharjee, M. Bhuyan, P. K. Das, D. Fan, S. Parasa, S. Ali, M. Riegler, P. Halvorsen, T. de Lange and U. Bagci

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges

Medical Image Analysis

A. Storås, S. Mæland, J. Isaksen, S. Hicks, V. Thambawita, C. Graff, H. L. Hammer, P. Halvorsen, M. Riegler and J. Kanters

Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps

JAMIA

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

S. Hicks, A. Storås, P. Halvorsen, M. Riegler and V. Thambawita

Overview of ImageCLEFmedical 2024 – Medical Visual Question Answering for Gastrointestinal Tract

CLEF 2024 Conference and Labs of the Evaluation Forum

S. Gautam, A. Storås, C. Midoglu, S. Hicks, V. Thambawita, P. Halvorsen and M. Riegler

Kvasir-VQA: A Text-Image Pair GI Tract Dataset

VLM4Bio'24: Proceedings of the First International Workshop on Vision-Language Models for Biomedical Applications

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

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)

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

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

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

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

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

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

C. Midoglu, S. Hicks, V. Thambawita, T. Kupka and P. Halvorsen

MMSys'22 Grand Challenge on AI-based Video Production for Soccer

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

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

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

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)

I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen

Artificial Intelligence in Gastroenterology

Artificial Intelligence in Medicine

V. Thambawita

DeepSynthBody: the beginning of the end for data deficiency in medicine

Oslo Metropolitan University

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