• 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 https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85022182486&origin=inward&txGid=285f3a80bf67d0ed5a00879adfd06a4b https://www.webofscience.com/wos/woscc/full-record/WOS:000770548800016
• 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 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85020429653&origin=inward&txGid=b9bd57654115e3fcec67073a7e49fd70 https://www.webofscience.com/wos/woscc/full-record/WOS:000454359300034
• 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 https://www.scopus.com/sourceid/35932 https://www.scopus.com/record/display.uri?eid=2-s2.0-85074266695&origin=inward&txGid=b3fd3e993b9cf64040499409020090b3 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20IMAG%20SYST%20TECH&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000490393000001