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ORCIDAleksandar Vakanski
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Journal Articles
- 2024
[j7]Yiqing Ma, Kyle Lucke, Min Xian
, Aleksandar Vakanski:
Semantic-Aware Adaptive Binary Search for Hard-Label Black-Box Attack. Comput. 13(8): 203 (2024)- [j6]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): 417 (2024) - 2023
- [j5]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: 79480-79494 (2023) - 2020
- [j4]Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker:
A review of computational approaches for evaluation of rehabilitation exercises. Comput. Biol. Medicine 119: 103687 (2020) - 2018
- [j3]Aleksandar Vakanski, Hyung-pil Jun, David Paul, Russell Baker:
A Data Set of Human Body Movements for Physical Rehabilitation Exercises. Data 3(1): 2 (2018) - 2017
- [j2]Aleksandar Vakanski, Farrokh Janabi-Sharifi, Iraj Mantegh:
An image-based trajectory planning approach for robust robot programming by demonstration. Robotics Auton. Syst. 98: 241-257 (2017) - 2012
- [j1]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): 1039-1052 (2012)
Conference and Workshop Papers
- 2024
- [c14]Kyle Lucke, Aleksandar Vakanski, Min Xian:
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. ISBI 2024: 1-5 - 2023
- [c13]Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian:
Enhanced Sharp-Gan for Histopathology Image Synthesis. ISBI 2023: 1-5 - [c12]Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef:
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. ISBI 2023: 1-5 - [c11]Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang:
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. MICCAI (4) 2023: 344-353 - [c10]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: 1-6 - 2022
- [c9]Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski:
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. ISBI 2022: 1-5 - [c8]Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning:
EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer. ISBI 2022: 1-5 - [c7]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: 401-410 - [c6]Haotian Wang, Min Xian, Aleksandar Vakanski:
TA-Net: Topology-Aware Network for Gland Segmentation. WACV 2022: 3241-3249 - 2021
- [c5]Aleksandar Vakanski, Min Xian:
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. MLSP 2021: 1-6 - [c4]Boyu Zhang, Aleksandar Vakanski, Min Xian:
Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. MLSP 2021: 1-6 - 2020
- [c3]Bryar Shareef, Min Xian, Aleksandar Vakanski:
Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. ISBI 2020: 1-5 - [c2]Haotian Wang, Min Xian, Aleksandar Vakanski:
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. ISBI 2020: 1-5 - 2017
- [c1]Robert E. Hiromoto, Michael A. Haney, Aleksandar Vakanski:
A secure architecture for IoT with supply chain risk management. IDAACS 2017: 431-435
Informal and Other Publications
- 2024
- [i25]Kyle Lucke, Aleksandar Vakanski, Min Xian:
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. CoRR abs/2403.15560 (2024) - [i24]Mohamed Hassan, Aleksandar Vakanski, Min Xian:
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis? CoRR abs/2408.04065 (2024) - [i23]Fadi Alharbi, Aleksandar Vakanski, Murtada Khalafallah Elbashir, Mohanad Mohammed:
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification. CoRR abs/2408.17384 (2024) - 2023
- [i22]Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian:
Enhanced Sharp-GAN For Histopathology Image Synthesis. CoRR abs/2301.10187 (2023) - [i21]Fadi Alharbi, Aleksandar Vakanski:
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review. CoRR abs/2301.12222 (2023) - [i20]Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang:
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. CoRR abs/2308.02101 (2023) - [i19]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 abs/2308.14213 (2023) - [i18]Mohammad Karimzadeh, Aleksandar Vakanski, Fei Xu, Xinchang Zhang:
Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials. CoRR abs/2309.16571 (2023) - [i17]Longze Li, Jiang Chang, Aleksandar Vakanski, Min Xian:
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks. CoRR abs/2311.02495 (2023) - 2022
- [i16]Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning:
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer. CoRR abs/2201.04795 (2022) - [i15]Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem:
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. CoRR abs/2205.01674 (2022) - [i14]Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef:
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. CoRR abs/2209.02412 (2022) - 2021
- [i13]Aleksandar Vakanski, Min Xian:
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. CoRR abs/2103.03328 (2021) - [i12]Sujata Butte, Aleksandar Vakanski, Kasia Duellman, Haotian Wang, Amin Mirkouei:
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection. CoRR abs/2106.07770 (2021) - [i11]Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian:
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. CoRR abs/2109.15283 (2021) - [i10]Boyu Zhang, Aleksandar Vakanski, Min Xian:
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. CoRR abs/2110.04069 (2021) - [i9]Haotian Wang, Min Xian, Aleksandar Vakanski:
TA-Net: Topology-Aware Network for Gland Segmentation. CoRR abs/2110.14593 (2021) - [i8]Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski:
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. CoRR abs/2110.14709 (2021) - 2020
- [i7]Haotian Wang, Min Xian, Aleksandar Vakanski:
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. CoRR abs/2002.01020 (2020) - [i6]Bryar Shareef, Min Xian, Aleksandar Vakanski:
Stan: Small tumor-aware network for breast ultrasound image segmentation. CoRR abs/2002.01034 (2020) - [i5]Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker:
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises. CoRR abs/2003.08767 (2020) - [i4]Bryar Shareef, Aleksandar Vakanski, Min Xian, Phoebe E. Freer:
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. CoRR abs/2009.12894 (2020) - 2019
- [i3]Yalin Liao, Aleksandar Vakanski, Min Xian:
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises. CoRR abs/1901.10435 (2019) - [i2]Aleksandar Vakanski, Min Xian, Phoebe Freer:
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images. CoRR abs/1910.08978 (2019) - 2018
- [i1]Longze Li, Aleksandar Vakanski:
Generative adversarial networks for generation and classification of physical rehabilitation movement episodes. CoRR abs/1812.06307 (2018)
Coauthor Index
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