Aleksandar Vakanski

56 papers A 1Journal 42Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model. IEEE Access Lawhori Chakrabarti, Boyu Zhang, Hengyi Tian, Aleksandar Vakanski, Min Xian
2025	J	`jnl`	Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification. IEEE Access Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed
2025	J	`jnl`	Decentralized Distributed Proximal Policy Optimization (DD-PPO) for High Performance Computing Scheduling on Multi-User Systems. CoRR Matthew Sgambati, Aleksandar Vakanski, Matthew Anderson
2025	J	`jnl`	Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? IEEE Access Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian
2025	J	`jnl`	GCSAM: Gradient Centralized Sharpness Aware Minimization. IEEE Access Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian
2025	J	`jnl`	GCSAM: Gradient Centralized Sharpness Aware Minimization. CoRR Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian
2025	J	`jnl`	Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach. CoRR Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed
2025	J	`jnl`	Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning. CoRR Jiang Chang, Deekshith Basvoju, Aleksandar Vakanski, Indrajit Charit, Min Xian
2025	J	`jnl`	Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification. Comput. Kyle Lucke, Aleksandar Vakanski, Min Xian
2024	—	`conf`	A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. ISBI Kyle Lucke, Aleksandar Vakanski, Min Xian
2024	J	`jnl`	A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. CoRR Kyle Lucke, Aleksandar Vakanski, Min Xian
2024	J	`jnl`	Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. Inf. Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian
2024	J	`jnl`	Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification. CoRR Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed
2024	J	`jnl`	Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis? CoRR Mohamed Hassan, Aleksandar Vakanski, Min Xian
2024	J	`jnl`	LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification. CoRR Fadi Alharbi, Aleksandar Vakanski, Murtada Khalafallah Elbashir, Mohanad Mohammed
2024	J	`jnl`	Semantic-Aware Adaptive Binary Search for Hard-Label Black-Box Attack. Comput. Yiqing Ma, Kyle Lucke, Min Xian, Aleksandar Vakanski
2023	J	`jnl`	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 Boyu Zhang, Aleksandar Vakanski, Min Xian
2023	—	`conf`	Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. MICCAI (4) Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang
2023	J	`jnl`	Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. CoRR Bryar Shareef, Min Xian, Aleksandar Vakanski, Haotian Wang
2023	J	`jnl`	Enhanced Sharp-GAN For Histopathology Image Synthesis. CoRR Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian
2023	—	`conf`	Enhanced Sharp-Gan for Histopathology Image Synthesis. ISBI Sujata Butte, Haotian Wang, Aleksandar Vakanski, Min Xian
2023	J	`jnl`	Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review. CoRR Fadi Alharbi, Aleksandar Vakanski
2023	—	`conf`	Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation. MLSP Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
2023	J	`jnl`	Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation. CoRR Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
2023	J	`jnl`	Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials. CoRR Mohammad Karimzadeh, Aleksandar Vakanski, Fei Xu, Xinchang Zhang
2023	—	`conf`	SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. ISBI Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef
2023	J	`jnl`	Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks. CoRR Longze Li, Jiang Chang, Aleksandar Vakanski, Min Xian
2022	—	`conf`	EMT-NET: Efficient Multitask Network for Computer-Aided Diagnosis of Breast Cancer. ISBI Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning
2022	J	`jnl`	EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer. CoRR Jiaqiao Shi, Aleksandar Vakanski, Min Xian, Jianrui Ding, Chunping Ning
2022	J	`jnl`	MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. CoRR Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem
2022	—	`conf`	MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. MICCAI (4) Shoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem
2022	J	`jnl`	SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis. CoRR Haotian Wang, Min Xian, Aleksandar Vakanski, Bryar Shareef
2022	—	`conf`	Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. ISBI Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski
2022	A	`conf`	TA-Net: Topology-Aware Network for Gland Segmentation. WACV Haotian Wang, Min Xian, Aleksandar Vakanski
2021	J	`jnl`	BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. CoRR Boyu Zhang, Aleksandar Vakanski, Min Xian
2021	J	`jnl`	Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images. CoRR Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian
2021	—	`conf`	Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images. MLSP Boyu Zhang, Aleksandar Vakanski, Min Xian
2021	—	`conf`	Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. MLSP Aleksandar Vakanski, Min Xian
2021	J	`jnl`	Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis. CoRR Aleksandar Vakanski, Min Xian
2021	J	`jnl`	Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection. CoRR Sujata Butte, Aleksandar Vakanski, Kasia Duellman, Haotian Wang, Amin Mirkouei
2021	J	`jnl`	Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis. CoRR Sujata Butte, Haotian Wang, Min Xian, Aleksandar Vakanski
2021	J	`jnl`	TA-Net: Topology-Aware Network for Gland Segmentation. CoRR Haotian Wang, Min Xian, Aleksandar Vakanski
2020	J	`jnl`	A Review of Computational Approaches for Evaluation of Rehabilitation Exercises. CoRR Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker
2020	J	`jnl`	A review of computational approaches for evaluation of rehabilitation exercises. Comput. Biol. Medicine Yalin Liao, Aleksandar Vakanski, Min Xian, David Paul, Russell Baker
2020	—	`conf`	Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. ISBI Haotian Wang, Min Xian, Aleksandar Vakanski
2020	J	`jnl`	Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. CoRR Haotian Wang, Min Xian, Aleksandar Vakanski
2020	J	`jnl`	ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. CoRR Bryar Shareef, Aleksandar Vakanski, Min Xian, Phoebe E. Freer
2020	—	`conf`	Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. ISBI Bryar Shareef, Min Xian, Aleksandar Vakanski
2020	J	`jnl`	Stan: Small tumor-aware network for breast ultrasound image segmentation. CoRR Bryar Shareef, Min Xian, Aleksandar Vakanski
2019	J	`jnl`	A Deep Learning Framework for Assessing Physical Rehabilitation Exercises. CoRR Yalin Liao, Aleksandar Vakanski, Min Xian
2019	J	`jnl`	Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images. CoRR Aleksandar Vakanski, Min Xian, Phoebe Freer
2018	J	`jnl`	A Data Set of Human Body Movements for Physical Rehabilitation Exercises. Data Aleksandar Vakanski, Hyung-pil Jun, David Paul, Russell Baker
2018	J	`jnl`	Generative adversarial networks for generation and classification of physical rehabilitation movement episodes. CoRR Longze Li, Aleksandar Vakanski
2017	—	`conf`	A secure architecture for IoT with supply chain risk management. IDAACS Robert E. Hiromoto, Michael A. Haney, Aleksandar Vakanski
2017	J	`jnl`	An image-based trajectory planning approach for robust robot programming by demonstration. Robotics Auton. Syst. Aleksandar Vakanski, Farrokh Janabi-Sharifi, Iraj Mantegh
2012	J	`jnl`	Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping. IEEE Trans. Syst. Man Cybern. Part B Aleksandar Vakanski, Iraj Mantegh, Andrew Irish, Farrokh Janabi-Sharifi