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Aleksandar Vakanski

Showing results (1-10 of 35) with videos related to

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Bioengineering (Basel, Switzerland)|February 25, 2023
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A ReviewFadi Alharbi, Aleksandar Vakanski
Applied Ergonomics|October 16, 2010
Analysis of visual acuity and motion resolvability as measures for optimal visual perception of the workspaceFarrokh Janabi-Sharifi, Aleksandar Vakanski
International Journal of Machine Learning and Computing|October 23, 2018
Generative Adversarial Networks for Generation and Classification of Physical Rehabilitation Movement EpisodesLongze Li, Aleksandar Vakanski
IEEE International Workshop on Machine Learning for Signal Processing : [Proceedings]. IEEE International Workshop on Machine Learning for Signal Processing|May 9, 2022
EVALUATION OF COMPLEXITY MEASURES FOR DEEP LEARNING GENERALIZATION IN MEDICAL IMAGE ANALYSISAleksandar Vakanski, Min Xian
IEEE International Workshop on Machine Learning for Signal Processing : [Proceedings]. IEEE International Workshop on Machine Learning for Signal Processing|May 5, 2022
BI-RADS-NET: AN EXPLAINABLE MULTITASK LEARNING APPROACH FOR CANCER DIAGNOSIS IN BREAST ULTRASOUND IMAGESBoyu Zhang, Aleksandar Vakanski, Min Xian
IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision|May 5, 2022
TA-Net: Topology-Aware Network for Gland SegmentationHaotian Wang, Min Xian, Aleksandar Vakanski
Proceedings. IEEE International Symposium on Biomedical Imaging|December 14, 2020
BENDING LOSS REGULARIZED NETWORK FOR NUCLEI SEGMENTATION IN HISTOPATHOLOGY IMAGESHaotian Wang, Min Xian, Aleksandar Vakanski
Proceedings. IEEE International Symposium on Biomedical Imaging|December 14, 2020
STAN: SMALL TUMOR-AWARE NETWORK FOR BREAST ULTRASOUND IMAGE SEGMENTATIONBryar Shareef, Min Xian, Aleksandar Vakanski
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 16, 2020
A Deep Learning Framework for Assessing Physical Rehabilitation ExercisesYalin Liao, Aleksandar Vakanski, Min Xian
IEEE Access : Practical Innovations, Open Solutions|August 23, 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 ExplanationsBoyu Zhang, Aleksandar Vakanski, Min Xian
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Bioengineering (Basel, Switzerland)|February 25, 2023
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A ReviewFadi Alharbi, Aleksandar Vakanski
Applied Ergonomics|October 16, 2010
Analysis of visual acuity and motion resolvability as measures for optimal visual perception of the workspaceFarrokh Janabi-Sharifi, Aleksandar Vakanski
International Journal of Machine Learning and Computing|October 23, 2018
Generative Adversarial Networks for Generation and Classification of Physical Rehabilitation Movement EpisodesLongze Li, Aleksandar Vakanski
IEEE International Workshop on Machine Learning for Signal Processing : [Proceedings]. IEEE International Workshop on Machine Learning for Signal Processing|May 9, 2022
EVALUATION OF COMPLEXITY MEASURES FOR DEEP LEARNING GENERALIZATION IN MEDICAL IMAGE ANALYSISAleksandar Vakanski, Min Xian
IEEE International Workshop on Machine Learning for Signal Processing : [Proceedings]. IEEE International Workshop on Machine Learning for Signal Processing|May 5, 2022
BI-RADS-NET: AN EXPLAINABLE MULTITASK LEARNING APPROACH FOR CANCER DIAGNOSIS IN BREAST ULTRASOUND IMAGESBoyu Zhang, Aleksandar Vakanski, Min Xian
IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision|May 5, 2022
TA-Net: Topology-Aware Network for Gland SegmentationHaotian Wang, Min Xian, Aleksandar Vakanski
Proceedings. IEEE International Symposium on Biomedical Imaging|December 14, 2020
BENDING LOSS REGULARIZED NETWORK FOR NUCLEI SEGMENTATION IN HISTOPATHOLOGY IMAGESHaotian Wang, Min Xian, Aleksandar Vakanski
Proceedings. IEEE International Symposium on Biomedical Imaging|December 14, 2020
STAN: SMALL TUMOR-AWARE NETWORK FOR BREAST ULTRASOUND IMAGE SEGMENTATIONBryar Shareef, Min Xian, Aleksandar Vakanski
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 16, 2020
A Deep Learning Framework for Assessing Physical Rehabilitation ExercisesYalin Liao, Aleksandar Vakanski, Min Xian
IEEE Access : Practical Innovations, Open Solutions|August 23, 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 ExplanationsBoyu Zhang, Aleksandar Vakanski, Min Xian
Pageof 4