ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability. - Dawid Rymarczyk; Aneta Kaczynska; Jaroslaw Kraus; Adam Pardyl; Bartosz Zielinski 001 (CoRR, 2021)

ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification. - Dawid Rymarczyk; Adam Pardyl; Jaroslaw Kraus; Aneta Kaczynska; Marek Skomorowski; Bartosz Zielinski 001 (ECML/PKDD (1), 2022)

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. - Lukasz Struski; Tomasz Urbanczyk; Krzysztof Bucki; Bartlomiej Cupial; Aneta Kaczynska; Przemyslaw Spurek; Jacek Tabor (CoRR, 2023)