Classification and denoising of objects in TEM and CT images using deep neural networks = Objektide klassifitseerimine ja müratustamine TEM ja KT kujutistelt sügavate närvivõrkude abilGupta, Anindya2018 https://digi.lib.ttu.ee/i/?9954 https://www.ester.ee/record=b5056535*est

Classification of cross-sections for vascular skeleton extraction using convolutional neural networksLidayová, Kristína; Gupta, Anindya; Frimmel, Hans; Sintorn, Ida-Maria; Bengtsson, Ewert; Smedby, ÖrjanMedical Image : Understanding and Analysis, 21st Annual Conference, MIUA 2017 Edinburgh, UK, July 11–13, 2017 : Proceedings2017 / p. 182-194 https://doi.org/10.1007/978-3-319-60964-5_16 Conference proceedings at Scopus Article at Scopus Article at WOS

Convolutional neural networks for false positive reduction of automatically detected cilia in low magnification TEM imagesGupta, Anindya; Suveer, Amit; Lindblad, Joakim; Dragomir, Anca; Sintorn, Ida-Maria; Sladoje, NatašaImage Analysis, 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017 : proceedings, Part I2017 / p. 407-418 : ill https://doi.org/10.1007/978-3-319-59126-1_34 Conference proceedings at Scopus Article at Scopus Article at WOS

Detection of pulmonary micronodules in computed tomography images and false positive reduction using 3D convolutional neural networksGupta, Anindya; Saar, Tõnis; Märtens, Olev; Le Moullec, Yannick; Sintorn, Ida-MariaInternational Journal of Imaging Systems and Technology2019 / p. 327-339 : ill https://doi.org/10.1002/ima.22373 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS