Sravanthi Parasa

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: Intelligent Cross-Data Analysis and Retrieval

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

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)

S. Hicks, A. Storås, M. Riegler, C. Midoglu, M. Hammou, T. de Lange, S. Parasa, P. Halvorsen and I. Strümke

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations

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

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, 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)

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

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