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AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data.

, , , , , , , , , and . Remote. Sens., 14 (14): 3283 (2022)

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Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks., , and . Ad Hoc Networks, (2021)CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks., , , and . Ad Hoc Networks, (2021)Automated Foveal Detection in OCT Scans., , and . ISSPIT, page 419-422. IEEE, (2018)AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data., , , , , , , , , and . Remote. Sens., 14 (14): 3283 (2022)An appraisal of the performance of AI tools for chronic stroke lesion segmentation., , , , and . Comput. Biol. Medicine, (September 2023)Deep residual learning-based cognitive model for detection and classification of transmitted signal patterns in 5G smart city networks., , and . Digit. Signal Process., (2022)SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression., , , and . CoRR, (2020)RRI-Net: Classification of Multi-class Retinal Diseases with Deep Recurrent Residual Inception Network using OCT Scans., , and . ISSPIT, page 1-6. IEEE, (2020)SEADNet: Deep learning driven segmentation and extraction of macular fluids in 3D retinal OCT scans., , and . ISSPIT, page 1-6. IEEE, (2020)An Imperceptible Medical Image Watermarking Framework for Automated Diagnosis of Retinal Pathologies in an eHealth Arrangement., , , and . IEEE Access, (2019)