Alexandr A. Kalinin

发表

Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, 2017, DLMIA/ML-CDS@MICCAI.

Evaluation of Methods for Cell Nuclear Structure Analysis from Microscopy Data

Ivo D. Dinov, Brian D. Athey, Alexandr A. Kalinin, 2018, bioRxiv.

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

Alexander Rakhlin, Vladimir Iglovikov, Alexandr A. Kalinin, 2018 .

Breast Tumor Cellularity Assessment using Deep Neural Networks

Aleksei Tiulpin, Alexander Rakhlin, Sergey Nikolenko, 2019, ArXiv.

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

Alexander Rakhlin, Vladimir Iglovikov, Alexandr A. Kalinin, 2018 .

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, 2018, bioRxiv.

Albumentations: fast and flexible image augmentations pdf

Alexandr A. Kalinin, Vladimir I. Iglovikov, Alexander V. Buslaev, 2018, Inf..

3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results

Gen Zheng, Ivo D. Dinov, Gerald A. Higgins, 2017 .

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

Alexander Rakhlin, Vladimir Iglovikov, Alexandr A. Kalinin, 2018 .

SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information

Ivo D. Dinov, Anh Truong, Alexandr A. Kalinin, 2015, Journal of Big Data.

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, 2018, bioRxiv.

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, 2017, bioRxiv.

Opportunities and obstacles for deep learning in biology and medicine

Yifan Peng, Wei Xie, Yanjun Qi, 2017 .

3D Cell Nuclear Morphology: Microscopy Imaging Dataset And Voxel-Based Morphometry Classification Results

Gen Zheng, Ivo D. Dinov, Gerald A. Higgins, 2017, bioRxiv.

Algorithms of Energy Efficient Control of Electric Technological Complex for Autonomous Heat Supply

Alexandr A. Kalinin, Iosif V. Breido, D. V. Lissitsyn, 2018, EAI Endorsed Trans. Energy Web.

Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification

S. Mohamad R. Soroushmehr, Kayvan Najarian, Ivo D. Dinov, 2018, Pharmacogenomics.

Deep Learning for Automatic Pneumonia Detection

Dmytro Poplavskiy, Alexandr A. Kalinin, Tatiana Gabruseva, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations pdf

Roman A. Solovyev, Dmitry V. Telpukhov, Alexandr A. Kalinin, 2018, ArXiv.

Medical Image Segmentation Using Deep Neural Networks with Pre-trained Encoders

Alexandr A. Kalinin, Alexey A. Shvets, Alexander Rakhlin, 2020 .

Breast Tumor Cellularity Assessment Using Deep Neural Networks

Aleksei Tiulpin, Sergey Nikolenko, Alexandr A. Kalinin, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications

Ivo D. Dinov, Alexandr A. Kalinin, Selvam Palanimalai, 2017, HILDA@SIGMOD.

3D Convolutional Neural Networks for Stalled Brain Capillary Detection pdf

Alexandr A. Kalinin, Roman Solovyev, Tatiana Gabruseva, 2021, Computers in Biology and Medicine.

Ten quick tips for deep learning in biology pdf

Casey S. Greene, Sebastian Raschka, Anthony Gitter, 2020, PLoS Comput. Biol..

Rotational 3D mechanogenomic Turing patterns of human colon Caco-2 cells during differentiation

Ivo D. Dinov, Alexandr A. Kalinin, Walter Meixner, 2018, bioRxiv.