Alexander V. Khvostikov

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Transfer Learning

Magnetic Resonance Images

Top Venues

Program. Comput. Softw.

Publications

Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Amit Sethi, Ilya Mikhailov, Pavel Malkov
Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images. Program. Comput. Softw. 50 (3) (2024)
Nikita D. Lokshin, Alexander V. Khvostikov, Andrey S. Krylov
Augmenting the Training Set of Histological Images with Adversarial Examples. Program. Comput. Softw. 49 (3) (2023)
Alexander V. Khvostikov, Vladimir Ippolitov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov
PathScribe: new software to work with whole slide histological images for education and research. ICBSP (2023)
Maksim A. Penkin, Alexander V. Khvostikov, Andrey S. Krylov
Automated Method for Optimum Scale Search when Using Trained Models for Histological Image Analysis. Program. Comput. Softw. 49 (3) (2023)
Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov
Visualization and Analysis of Whole Slide Histological Images. ICPR Workshops (2) (2022)
Maxim Penkin, Andrey S. Krylov, Alexander V. Khvostikov
Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images. Program. Comput. Softw. 47 (3) (2021)
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, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39 (10) (2020)
Alexander V. Khvostikov, Andrey S. Krylov, Ilya Mikhailov, Pavel Malkov
CNN Assisted Hybrid Algorithm for Medical Images Segmentation. ICBIP (2020)
Andrey S. Krylov, Maxim Penkin, Nikolay V. Mamaev, Alexander V. Khvostikov
How to choose adaptively parameters of image denoising methods? IPTA (2019)
Andrey S. Krylov, Valeriy E. Karnaukhov, Nikolay V. Mamaev, Alexander V. Khvostikov
Hybrid Method for Biomedical Image Denoising. ICBSP (2019)
Karim Aderghal, Alexander V. Khvostikov, Andrei Krylov, Jenny Benois-Pineau, Karim Afdel, Gwenaelle Catheline
Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning. CBMS (2018)
Alexander V. Khvostikov, Karim Aderghal, Andrey S. Krylov, Gwenaelle Catheline, Jenny Benois-Pineau
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics. CoRR (2018)
Alexander V. Khvostikov, Karim Aderghal, Jenny Benois-Pineau, Andrey S. Krylov, Gwenaelle Catheline
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. CoRR (2018)
Alexander V. Khvostikov, Andrey S. Krylov, O. Kharlova, N. Oleynikova, Ilya Mikhailov, Pavel Malkov
Histological images segmentation of mucous glands. CoRR (2018)
Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan
Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics. Signal Process. Image Commun. 59 (2017)
Alexander V. Khvostikov, Andrey S. Krylov, Julius Kamalov, Alina Megroyan
Influence of ultrasound despeckling on the liver fibrosis classification. IPTA (2015)