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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
Ultrasound in Medicine & Biology|July 26, 2020
Attention-Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesAleksandar Vakanski, Min Xian, Phoebe E Freer
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 11, 2024
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer NetworkBryar Shareef, Min Xian, Aleksandar Vakanski, et al.
IEEE International Workshop on Machine Learning for Signal Processing : [Proceedings]. IEEE International Workshop on Machine Learning for Signal Processing|April 4, 2024
POST-HOC EXPLAINABILITY OF BI-RADS DESCRIPTORS IN A MULTI-TASK FRAMEWORK FOR BREAST CANCER DETECTION AND SEGMENTATIONMohammad Karimzadeh, Aleksandar Vakanski, Min Xian, et al.
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