Aleksandar Vakanski

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 41

Top Topics

Image Synthesis

Breast Ultrasound

Computational Approaches

Top Venues

Publications

Kyle Lucke, Aleksandar Vakanski, Min Xian
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. CoRR (2024)
Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. Inf. 15 (7) (2024)
Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation. CoRR (2023)
Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. MICCAI (4) (2023)
Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation. MLSP (2023)
Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. CoRR (2023)
Boyu Zhang, Aleksandar Vakanski, Min Xian
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. IEEE Access 11 (2023)
Fadi Alharbi, Aleksandar Vakanski
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review. CoRR (2023)
Longze Li, Jiang Chang, Aleksandar Vakanski, Min Xian
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks. CoRR (2023)
Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian
Enhanced Sharp-Gan for Histopathology Image Synthesis. ISBI (2023)
Mohammad Karimzadeh, Aleksandar Vakanski, Fei Xu, Xinchang Zhang
Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials. CoRR (2023)
Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian
Enhanced Sharp-GAN For Histopathology Image Synthesis. CoRR (2023)
Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. ISBI (2023)
Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem
MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. MICCAI (4) (2022)
Haotian Wang, Min Xian, Aleksandar Vakanski
TA-Net: Topology-Aware Network for Gland Segmentation. WACV (2022)
Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. CoRR (2022)
Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer. CoRR (2022)
Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. ISBI (2022)
Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning
EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer. ISBI (2022)
Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. CoRR (2022)
Boyu Zhang, Aleksandar Vakanski, Min Xian
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. CoRR (2021)
Aleksandar Vakanski, Min Xian
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. MLSP (2021)
Sujata Butte, Aleksandar Vakanski, Kasia Duellman, Haotian Wang, Amin Mirkouei
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection. CoRR (2021)
Boyu Zhang, Aleksandar Vakanski, Min Xian
Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. MLSP (2021)
Aleksandar Vakanski, Min Xian
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. CoRR (2021)
Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. CoRR (2021)
Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. CoRR (2021)
Haotian Wang, Min Xian, Aleksandar Vakanski
TA-Net: Topology-Aware Network for Gland Segmentation. CoRR (2021)
Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker
A review of computational approaches for evaluation of rehabilitation exercises. Comput. Biol. Medicine 119 (2020)
Haotian Wang, Min Xian, Aleksandar Vakanski
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. CoRR (2020)
Bryar Shareef, Min Xian, Aleksandar Vakanski
Stan: Small tumor-aware network for breast ultrasound image segmentation. CoRR (2020)
Bryar Shareef, Min Xian, Aleksandar Vakanski
Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. ISBI (2020)
Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises. CoRR (2020)
Haotian Wang, Min Xian, Aleksandar Vakanski
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. ISBI (2020)
Bryar Shareef, Aleksandar Vakanski, Min Xian, Phoebe E. Freer
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. CoRR (2020)
Yalin Liao, Aleksandar Vakanski, Min Xian
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises. CoRR (2019)
Aleksandar Vakanski, Min Xian, Phoebe Freer
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images. CoRR (2019)
Aleksandar Vakanski, Hyung-pil Jun, David Paul, Russell Baker
A Data Set of Human Body Movements for Physical Rehabilitation Exercises. Data 3 (1) (2018)
Longze Li, Aleksandar Vakanski
Generative adversarial networks for generation and classification of physical rehabilitation movement episodes. CoRR (2018)
Aleksandar Vakanski, Farrokh Janabi-Sharifi, Iraj Mantegh
An image-based trajectory planning approach for robust robot programming by demonstration. Robotics Auton. Syst. 98 (2017)
Robert E. Hiromoto, Michael A. Haney, Aleksandar Vakanski
A secure architecture for IoT with supply chain risk management. IDAACS (2017)
Aleksandar Vakanski, Iraj Mantegh, Andrew Irish, Farrokh Janabi-Sharifi
Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping. IEEE Trans. Syst. Man Cybern. Part B 42 (4) (2012)