SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information. - Syed S. Husain; Alexandr A. Kalinin; Anh Truong; Ivo D. Dinov (J. Big Data, 2015)

Probability Distributome: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions. - Ivo D. Dinov; Kyle Siegrist; Dennis K. Pearl; Alexandr A. Kalinin; Nicolas Christou (Comput. Stat., 2016)

SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications. - Alexandr A. Kalinin; Selvam Palanimalai; Ivo D. Dinov (HILDA@SIGMOD, 2017)

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks. - Vladimir Iglovikov; Alexander Rakhlin; Alexandr A. Kalinin; Alexey Shvets (CoRR, 2017)

Evaluation of Methods for Cell Nuclear Structure Analysis from Microscopy Data. - Alexandr A. Kalinin; Brian D. Athey; Ivo D. Dinov (AIST (Supplement), 2018)

3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results. - Alexandr A. Kalinin; Ari Allyn-Feuer; Alexander S. Ade; Gordon-Victor Fon; Walter Meixner; David Dilworth; Jeffrey R. de Wet; Gerald A. Higgins; Gen Zheng; Amy Creekmore; John W. Wiley; James E. Verdone; et al. (CVPR Workshops, 2018)

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. - Alexander Rakhlin; Alexey Shvets; Vladimir Iglovikov; Alexandr A. Kalinin (ICIAR, 2018)

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks. - Alexey A. Shvets; Vladimir I. Iglovikov; Alexander Rakhlin; Alexandr A. Kalinin (ICMLA, 2018)

Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning. - Alexey A. Shvets; Alexander Rakhlin; Alexandr A. Kalinin; Vladimir I. Iglovikov (ICMLA, 2018)

Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks. - Vladimir I. Iglovikov; Alexander Rakhlin; Alexandr A. Kalinin; Alexey A. Shvets (DLMIA/ML-CDS@MICCAI, 2018)

Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification. - Alexandr A. Kalinin; Gerald A. Higgins; Narathip Reamaroon; S. M. Reza Soroushmehr; Ari Allyn-Feuer; Ivo D. Dinov; Kayvan Najarian; Brian D. Athey (CoRR, 2018)

FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations. - Roman A. Solovyev; Alexandr A. Kalinin; Alexander G. Kustov; Dmitry V. Telpukhov; Vladimir S. Ruhlov (CoRR, 2018)

Albumentations: fast and flexible image augmentations. - Alexander V. Buslaev; Alex Parinov; Eugene Khvedchenya; Vladimir I. Iglovikov; Alexandr A. Kalinin (CoRR, 2018)

Algorithms of Energy Efficient Control of Electric Technological Complex for Autonomous Heat Supply. - Iosif V. Breido; Alexandr A. Kalinin; D. V. Lissitsyn (EAI Endorsed Trans. Energy Web, 2018)

Breast Tumor Cellularity Assessment Using Deep Neural Networks. - Alexander Rakhlin; Aleksei Tiulpin; Alexey A. Shvets; Alexandr A. Kalinin; Vladimir I. Iglovikov; Sergey I. Nikolenko (ICCV Workshops, 2019)

Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. - Ming Tang; Chao Gao; Stephen A. Goutman; Alexandr A. Kalinin; Bhramar Mukherjee; Yuanfang Guan; Ivo D. Dinov (Neuroinformatics, 2019)

Deep Learning for Automatic Pneumonia Detection. - Tatiana Gabruseva; Dmytro Poplavskiy; Alexandr A. Kalinin (CVPR Workshops, 2020)

Albumentations: Fast and Flexible Image Augmentations. - Alexander Buslaev 002; Vladimir I. Iglovikov; Eugene Khvedchenya; Alex Parinov; Mikhail Druzhinin; Alexandr A. Kalinin (Inf., 2020)

Ten Quick Tips for Deep Learning in Biology. - Benjamin D. Lee; Anthony Gitter; Casey S. Greene; Sebastian Raschka; Finlay Maguire; Alexander J. Titus; Michael D. Kessler; Alexandra J. Lee; Marc G. Chevrette; Paul Allen Stewart; Thiago Britto-Borges; Evan M. Cofer; et al. (CoRR, 2021)

3D convolutional neural networks for stalled brain capillary detection. - Roman A. Solovyev; Alexandr A. Kalinin; Tatiana Gabruseva (Comput. Biol. Medicine, 2022)

SOCRAT: A Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization. - Alexandr A. Kalinin; Selvam Palanimalai; Junqi Zhu; Wenyi Wu; Nikhil Devraj; Chunchun Ye; Nellie Ponarul; Syed S. Husain; Ivo D. Dinov (Inf., 2022)

Ten quick tips for deep learning in biology. - Benjamin D. Lee; Anthony Gitter; Casey S. Greene; Sebastian Raschka; Finlay Maguire; Alexander J. Titus; Michael D. Kessler; Alexandra J. Lee; Marc G. Chevrette; Paul Allen Stewart; Thiago Britto-Borges; Evan M. Cofer; et al. (PLoS Comput. Biol., 2022)

Improving Acne Image Grading with Label Distribution Smoothing. - Kirill Prokhorov; Alexandr A. Kalinin (ISBI, 2024)

cp_measure: API-first feature extraction for image-based profiling workflows. - Alán F. Muñoz; Tim Treis; Alexandr A. Kalinin; Shatavisha Dasgupta; Fabian J. Theis; Anne E. Carpenter; Shantanu Singh (CoRR, 2025)

Foreground-aware Virtual Staining for Accurate 3D Cell Morphological Profiling. - Alexandr A. Kalinin; Paula Llanos; Theresa Maria Sommer; Giovanni Sestini; Xinhai Hou; Jonathan Z. Sexton; Xiang Wan; Ivo D. Dinov; Brian D. Athey; Nicolas Rivron; Anne E. Carpenter; Beth A. Cimini; et al. (CoRR, 2025)