Influence of ultrasound despeckling on the liver fibrosis classification. - Alexander V. Khvostikov; Andrey S. Krylov; Julius Kamalov; Alina Megroyan (IPTA, 2015)

Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics. - Alexander V. Khvostikov; Andrey S. Krylov; Julius Kamalov; Alina Megroyan (Signal Process. Image Commun., 2017)

Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning. - Karim Aderghal; Alexander V. Khvostikov; Andrei S. Krylov; Jenny Benois-Pineau; Karim Afdel; Gwenaelle Catheline (CBMS, 2018)

3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. - Alexander V. Khvostikov; Karim Aderghal; Jenny Benois-Pineau; Andrey S. Krylov; Gwenaelle Catheline (CoRR, 2018)

Histological images segmentation of mucous glands. - Alexander V. Khvostikov; Andrey S. Krylov; Olga Kharlova; N. Oleynikova; Ilya Mikhailov; Pavel Malkov (CoRR, 2018)

3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics. - Alexander V. Khvostikov; Karim Aderghal; Andrey S. Krylov; Gwenaelle Catheline; Jenny Benois-Pineau (CoRR, 2018)

Hybrid Method for Biomedical Image Denoising. - Andrey S. Krylov; Valeriy E. Karnaukhov; Nikolay V. Mamaev; Alexander V. Khvostikov (ICBSP, 2019)

How to choose adaptively parameters of image denoising methods? - Andrey S. Krylov; Maxim A. Penkin; Nikolay V. Mamaev; Alexander V. Khvostikov (IPTA, 2019)

CNN Assisted Hybrid Algorithm for Medical Images Segmentation. - Alexander V. Khvostikov; Andrey S. Krylov; Ilya Mikhailov; Pavel Malkov (ICBIP, 2020)

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. - Jirí Borovec; Jan Kybic; Ignacio Arganda-Carreras; Dmitry V. Sorokin; Gloria Bueno; Alexander V. Khvostikov; Spyridon Bakas; Eric I-Chao Chang; Stefan Heldmann; Kimmo Kartasalo; Leena Latonen; Johannes Lotz 002; et al. (IEEE Trans. Medical Imaging, 2020)

Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images. - Maxim A. Penkin; Andrey S. Krylov; Alexander V. Khvostikov (Program. Comput. Softw., 2021)

Visualization and Analysis of Whole Slide Histological Images. - Alexander V. Khvostikov; Andrey S. Krylov; Ilya Mikhailov; Pavel Malkov (ICPR Workshops (2), 2022)

PathScribe: new software to work with whole slide histological images for education and research. - Alexander V. Khvostikov; Vladimir Ippolitov; Andrey S. Krylov; Ilya Mikhailov; Pavel Malkov (ICBSP, 2023)

Augmenting the Training Set of Histological Images with Adversarial Examples. - Nikita D. Lokshin; Alexander V. Khvostikov; Andrey S. Krylov (Program. Comput. Softw., 2023)

Automated Method for Optimum Scale Search when Using Trained Models for Histological Image Analysis. - Maksim A. Penkin; Alexander V. Khvostikov; Andrey S. Krylov (Program. Comput. Softw., 2023)

Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images. - Zhongao Sun; Alexander V. Khvostikov; Andrey S. Krylov; Amit Sethi; Ilya Mikhailov; Pavel Malkov (Program. Comput. Softw., 2024)