Aleksandar Vakanski

According to our database, Aleksandar Vakanski authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation.

Kyle Lucke, Aleksandar Vakanski, Min Xian

CoRR, 2024

2023

Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks.

Longze Li, Jiang Chang, Aleksandar Vakanski, Min Xian

CoRR, 2023

Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials.

Mohammad Karimzadeh, Aleksandar Vakanski, Fei Xu, Xinchang Zhang

CoRR, 2023

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review.

Fadi Alharbi, Aleksandar Vakanski

CoRR, 2023

BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations.

Boyu Zhang, Aleksandar Vakanski, Min Xian

IEEE Access, 2023

Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation.

Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network.

Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis.

Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Enhanced Sharp-Gan for Histopathology Image Synthesis.

Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

TA-Net: Topology-Aware Network for Gland Segmentation.

Haotian Wang, Min Xian, Aleksandar Vakanski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast Cancer.

Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer.

Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis.

Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images.

Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian

CoRR, 2021

Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection.

Sujata Butte, Aleksandar Vakanski, Kasia Duellman, Haotian Wang, Amin Mirkouei

CoRR, 2021

Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images.

Boyu Zhang, Aleksandar Vakanski, Min Xian

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis.

Aleksandar Vakanski, Min Xian

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020

ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation.

Bryar Shareef, Aleksandar Vakanski, Min Xian, Phoebe E. Freer

CoRR, 2020

A review of computational approaches for evaluation of rehabilitation exercises.

Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker

Comput. Biol. Medicine, 2020

Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images.

Haotian Wang, Min Xian, Aleksandar Vakanski

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation.

Bryar Shareef, Min Xian, Aleksandar Vakanski

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images.

Aleksandar Vakanski, Min Xian, Phoebe Freer

CoRR, 2019

A Deep Learning Framework for Assessing Physical Rehabilitation Exercises.

Yalin Liao, Aleksandar Vakanski, Min Xian

CoRR, 2019

2018

A Data Set of Human Body Movements for Physical Rehabilitation Exercises.

Aleksandar Vakanski, Hyung-pil Jun, David Paul, Russell Baker

Data, 2018

Generative adversarial networks for generation and classification of physical rehabilitation movement episodes.

Longze Li, Aleksandar Vakanski

CoRR, 2018

2017

An image-based trajectory planning approach for robust robot programming by demonstration.

Aleksandar Vakanski, Farrokh Janabi-Sharifi, Iraj Mantegh

Robotics Auton. Syst., 2017

A secure architecture for IoT with supply chain risk management.

Robert E. Hiromoto, Michael A. Haney, Aleksandar Vakanski

Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

2012

Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping.

Aleksandar Vakanski, Iraj Mantegh, Andrew Irish, Farrokh Janabi-Sharifi

IEEE Trans. Syst. Man Cybern. Part B, 2012