Alexandr A. Kalinin
Alexandr A. Kalinin
Postdoctoral Associate, Broad Institute of MIT and Harvard
Verified email at - Homepage
Cited by
Cited by
Opportunities and obstacles for deep learning in biology and medicine
T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ...
Journal of The Royal Society Interface 15 (141), 2018
Albumentations: fast and flexible image augmentations
A Buslaev, VI Iglovikov, E Khvedchenya, A Parinov, M Druzhinin, ...
Information 11 (2), 125, 2020
Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning
A Shvets, A Rakhlin, AA Kalinin, V Iglovikov
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
Deep convolutional neural networks for breast cancer histology image analysis
A Rakhlin, A Shvets, V Iglovikov, AA Kalinin
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks
VI Iglovikov, A Rakhlin, AA Kalinin, AA Shvets
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
Model-based and model-free machine learning techniques for diagnostic prediction and classification of clinical outcomes in Parkinson’s disease
C Gao, H Sun, T Wang, M Tang, NI Bohnen, MLTM Müller, T Herman, ...
Scientific reports 8 (1), 7129, 2018
Deep learning in pharmacogenomics: from gene regulation to patient stratification
AA Kalinin, GA Higgins, N Reamaroon, S Soroushmehr, A Allyn-Feuer, ...
Pharmacogenomics 19 (7), 629-650, 2018
Individual and cohort pharmacological phenotype prediction platform
BD Athey, A Allyn-Feuer, GA Higgins, JS Burns, A Kalinin, B Pauls, A Ade, ...
US Patent 10,867,702, 2020
Deep Learning for Automatic Pneumonia Detection
T Gabruseva, D Poplavskiy, A Kalinin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks
A Shvets, V Iglovikov, A Rakhlin, AA Kalinin
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
Fixed-point convolutional neural network for real-time video processing in FPGA
R Solovyev, A Kustov, D Telpukhov, V Rukhlov, A Kalinin
2019 IEEE Conference of Russian Young Researchers in Electrical and …, 2019
3D convolutional neural networks for stalled brain capillary detection
R Solovyev, AA Kalinin, T Gabruseva
Computers in Biology and Medicine 141, 105089, 2022
Medical image segmentation using deep neural networks with pre-trained encoders
AA Kalinin, VI Iglovikov, A Rakhlin, AA Shvets
Deep Learning Applications, 39-52, 2020
SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information
SS Husain, A Kalinin, A Truong, ID Dinov
Journal of big data 2, 1-18, 2015
3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification
AA Kalinin, A Allyn-Feuer, A Ade, GV Fon, W Meixner, D Dilworth, ...
Scientific reports 8, 2018
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering
M Tang, C Gao, SA Goutman, A Kalinin, B Mukherjee, Y Guan, ID Dinov
Neuroinformatics, 1-15, 2019
Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations
SN Chandrasekaran, BA Cimini, A Goodale, L Miller, M Kost-Alimova, ...
Nature Methods, 2024
Breast Tumor Cellularity Assessment using Deep Neural Networks
A Rakhlin, A Tiulpin, AA Shvets, AA Kalinin, VI Iglovikov, S Nikolenko
Proceedings of the IEEE International Conference on Computer Vision …, 2019
Ten quick tips for deep learning in biology
BD Lee, A Gitter, CS Greene, S Raschka, F Maguire, AJ Titus, MD Kessler, ...
PLoS computational biology 18 (3), e1009803, 2022
3D cell nuclear morphology: microscopy imaging dataset and voxel-based morphometry classification results
AA Kalinin, A Allyn-Feuer, A Ade, GV Fon, W Meixner, D Dilworth, ...
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018
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