Amritendu Mukherjee - researchr alias

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Viewing Publication 1 - 6 from 6

2022

A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP imagesAmish Kumar, Palash Ghosal, Soumya Snigdha Kundu, Amritendu Mukherjee, Debashis Nandi. cmpb, 226:107157, 2022. [doi]

Development of New Index Based Supervised Algorithm for Separation of Built-Up and River Sand Pixels from Landsat7 Imagery: Comparison of Performance with SVMAmritendu Mukherjee, Parthasarathy Ramachandran. igarss 2022: 3183-3186 [doi]

2021

Filtering Super-Resolution Scan Conversion of Medical Ultrasound FramesDipannita Ghosh, Amish Kumar, Palash Ghosal, Amritendu Mukherjee, Debashis Nandi. wpc, 116(1):883-905, 2021. [doi]

Development of New Index-Based Methodology for Extraction of Built-Up Area From Landsat7 Imagery: Comparison of Performance With SVM, ANN, and Existing IndicesAmritendu Mukherjee, Arjun Anil Kumar, Parthasarathy Ramachandran. tgrs, 59(2):1592-1603, 2021. [doi]

2020

CSNet: A new DeepNet framework for ischemic stroke lesion segmentationAmish Kumar, Neha Upadhyay, Palash Ghosal, Tamal Chowdhury, Dipayan Das 0004, Amritendu Mukherjee, Debashis Nandi. cmpb, 193:105524, 2020. [doi]

2019

A Dense U-Net Architecture for Multiple Sclerosis Lesion SegmentationAmish Kumar, Oduri Narayana Murthy, Shrish, Palash Ghosal, Amritendu Mukherjee, Debashis Nandi. tencon 2019: 662-667 [doi]

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