Iterative Low-Rank Approximation for CNN Compression. - Maksym Kholiavchenko (CoRR, 2018)

Automated Multi-Stage Compression of Neural Networks. - Julia Gusak; Maksym Kholyavchenko; Evgeny Ponomarev; Larisa Markeeva; Philip Blagoveschensky; Andrzej Cichocki; Ivan V. Oseledets (ICCV Workshops, 2019)

Data Augmentation for Chest Pathologies Classification. - Ilyas Sirazitdinov; Maksym Kholiavchenko; Ramil Kuleev; Bulat Ibragimov (ISBI, 2019)

Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database. - Ilyas Sirazitdinov; Maksym Kholiavchenko; Tamerlan Mustafaev; Yixuan Yuan; Ramil Kuleev; Bulat Ibragimov (Comput. Electr. Eng., 2019)

One time is not enough: iterative tensor decomposition for neural network compression. - Julia Gusak; Maksym Kholyavchenko; Evgeny Ponomarev; Larisa Markeeva; Ivan V. Oseledets; Andrzej Cichocki (CoRR, 2019)

Evaluation of Deep Learning Methods for Bone Suppression from Dual Energy Chest Radiography. - Ilyas Sirazitdinov; Konstantin Kubrak; Semen Kiselev; Alexey Tolkachev; Maksym Kholiavchenko; Bulat Ibragimov (ICANN (1), 2020)

Contour-aware multi-label chest X-ray organ segmentation. - Maksym Kholiavchenko; Ilyas Sirazitdinov; Konstantin Kubrak; R. Badrutdinova; Ramil Kuleev; Yixuan Yuan; Tomaz Vrtovec; Bulat Ibragimov (Int. J. Comput. Assist. Radiol. Surg., 2020)

Deep Learning for Diagnosis and Segmentation of Pneumothorax: The Results on the Kaggle Competition and Validation Against Radiologists. - Alexey Tolkachev; Ilyas Sirazitdinov; Maksym Kholiavchenko; Tamerlan Mustafaev; Bulat Ibragimov (IEEE J. Biomed. Health Informatics, 2021)

Gaze-based attention to improve the classification of lung diseases. - Maksim Kholiavchenko; Ilya Pershin; Bulat Maksudov; Tamerlan Mustafaev; Yixuan Yuan; Bulat Ibragimov (Image Processing, 2022)

AI-based analysis of radiologist's eye movements for fatigue estimation: a pilot study on chest X-rays. - Ilya Pershin; Maksim Kholiavchenko; Bulat Maksudov; Tamerlan Mustafaev; Bulat Ibragimov (Image Perception, Observer Performance, and Technology Assessment, 2022)

Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns. - Ilya Pershin; Maksim Kholiavchenko; Bulat Maksudov; Tamerlan Mustafaev; Dilyara Ibragimova; Bulat Ibragimov (IEEE J. Biomed. Health Informatics, 2022)

A Framework for Autonomic Computing for In Situ Imageomics. - Jenna Kline; Christopher Stewart; Tanya Y. Berger-Wolf; Michelle Ramirez; Samuel Stevens 001; Reshma Ramesh Babu; Namrata Banerji; Alec Sheets; Sowbaranika Balasubramaniam; Elizabeth G. Campolongo; Matthew Thompson; Charles V. Stewart; et al. (ACSOS, 2023)

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos. - Maksim Kholiavchenko; Jenna Kline; Michelle Ramirez; Sam Stevens 001; Alec Sheets; Reshma Ramesh Babu; Namrata Banerji; Elizabeth G. Campolongo; Matthew Thompson; Nina Van Tiel; Jackson Miliko; Eduardo Bessa; et al. (WACV (Workshops), 2024)

BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. - Isla Duporge; Maksim Kholiavchenko; Roi Harel; Scott Wolf; Daniel I. Rubenstein; Meg Crofoot; Tanya Y. Berger-Wolf; Stephen Lee; Julie Barreau; Jenna Kline; Michelle Ramirez; Charles V. Stewart (CoRR, 2024)

Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs). - Jenna Kline; Maksim Kholiavchenko; Otto Brookes; Tanya Y. Berger-Wolf; Charles V. Stewart; Christopher Stewart (CoRR, 2024)

Species-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features. - Ekaterina A. Nepovinnykh; Ilja Chelak; Tuomas Eerola; Veikka Immonen; Heikki Kälviäinen; Maksim Kholiavchenko; Charles V. Stewart (Int. J. Comput. Vis., 2024)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video. - Maksim Kholiavchenko; Jenna Kline; Maksim Kukushkin; Otto Brookes; Sam Stevens 001; Isla Duporge; Alec Sheets; Reshma Ramesh Babu; Namrata Banerji; Elizabeth G. Campolongo; Matthew Thompson; Nina Van Tiel; et al. (Multim. Tools Appl., 2025)