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Kishore Babu Nampalle
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2020 – today
- 2024
- [j2]Kishore Babu Nampalle
, Anshul Pundhir, Pushpamanjari Ramesh Jupudi, Balasubramanian Raman:
Towards improved U-Net for efficient skin lesion segmentation. Multim. Tools Appl. 83(28): 71665-71682 (2024) - 2023
- [j1]Kishore Babu Nampalle
, Shriansh Manhas, Balasubramanian Raman:
Medical image security and authenticity via dual encryption. Appl. Intell. 53(17): 20647-20659 (2023) - [i4]Kishore Babu Nampalle, Pradeep Singh
, Vivek Narayan Uppala, Sumit Gangwar, Rajesh Singh Negi, Balasubramanian Raman:
Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing. CoRR abs/2305.15426 (2023) - [i3]Pradeep Singh, Kishore Babu Nampalle, Vivek Narayan Uppala, Balasubramanian Raman:
See Through the Fog: Curriculum Learning with Progressive Occlusion in Medical Imaging. CoRR abs/2306.15574 (2023) - [i2]Kishore Babu Nampalle, Pradeep Singh, Vivek Narayan Uppala, Balasubramanian Raman:
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification. CoRR abs/2306.17794 (2023) - [i1]Kishore Babu Nampalle, Pradeep Singh, Vivek Narayan Uppala, Balasubramanian Raman:
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum. CoRR abs/2307.00324 (2023) - 2022
- [c4]Pratham Goyal, Anjali Raj, Puneet Kumar, Kishore Babu Nampalle
:
Automatic Evaluation of Machine Generated Feedback For Text and Image Data. MIPR 2022: 413-418 - [c3]Kishore Babu Nampalle, Balasubramanian Raman:
An efficient multi-functional deep learning model for effective medical image classification using skin lesion database. MIPR 2022: 425-429 - 2020
- [c2]Kishore Babu Nampalle
, Balasubramanian Raman
:
An Efficient Approach for Skin Lesion Segmentation Using Dermoscopic Images: A Deep Learning Approach. CVIP (1) 2020: 430-439 - [c1]Nidhi Saxena
, Kishore Babu N., Balasubramanian Raman:
Semantic Segmentation of Multispectral Images using Res-Seg-net Model. ICSC 2020: 154-157
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last updated on 2024-08-23 19:26 CEST by the dblp team
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