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Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation.

, , , , , and . EMBC, page 7223-7226. IEEE, (2019)

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ECGNet: Deep Network for Arrhythmia Classification., , , , , , and . MeMeA, page 1-6. IEEE, (2018)Deep Network for Capacitive ECG Denoising., , , , , , and . MeMeA, page 1-6. IEEE, (2019)Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation., , , , , and . EMBC, page 7223-7226. IEEE, (2019)A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data., , , , , and . COMSNETS, page 147-152. IEEE, (2024)Attention Augmented Convolutional Transformer for Tabular Time-series., and . ICDM (Workshops), page 537-541. IEEE, (2021)Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation., , , , , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 292-300. Springer, (2019)A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation., , , , , and . ISBI, page 1949-1953. IEEE, (2020)Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks., , , and . CoRR, (2020)ALIME: Autoencoder Based Approach for Local Interpretability., and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 454-463. Springer, (2019)Model Uncertainty based Active Learning on Tabular Data using Boosted Trees.. AIMLSystems, page 21:1-21:9. ACM, (2023)