Palash Ghosal

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Magnetic Resonance Images

Lesion Segmentation

Corpus Callosum

Top Venues

Comput. Methods Programs Biomed.

Int. J. Pattern Recognit. Artif. Intell.

Wirel. Pers. Commun.

Publications

Arnab Halder, Palaiahnakote Shivakumara, Umapada Pal, Michael Blumenstein, Palash Ghosal
A Locally Weighted Linear Regression-Based Approach for Arbitrary Moving Shaky and Nonshaky Video Classification. Int. J. Pattern Recognit. Artif. Intell. 38 (1) (2024)
Amish Kumar, Palash Ghosal, Soumya Snigdha Kundu, Amritendu Mukherjee, Debashis Nandi
A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images. Comput. Methods Programs Biomed. 226 (2022)
Palash Ghosal, Tamal Chowdhury, Amish Kumar, Ashok Kumar Bhadra, Jayasree Chakraborty, Debashis Nandi
MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images. Comput. Methods Programs Biomed. 200 (2021)
Dipannita Ghosh, Amish Kumar, Palash Ghosal, Amritendu Mukherjee, Debashis Nandi
Filtering Super-Resolution Scan Conversion of Medical Ultrasound Frames. Wirel. Pers. Commun. 116 (1) (2021)
Amish Kumar, Neha Upadhyay, Palash Ghosal, Tamal Chowdhury, Dipayan Das, Amritendu Mukherjee, Debashis Nandi
CSNet: A new DeepNet framework for ischemic stroke lesion segmentation. Comput. Methods Programs Biomed. 193 (2020)
Amish Kumar, Oduri Narayana Murthy, Shrish, Palash Ghosal, Amritendu Mukherjee, Debashis Nandi
A Dense U-Net Architecture for Multiple Sclerosis Lesion Segmentation. TENCON (2019)
Palash Ghosal, Shanmukha Reddy, Charan Sai, Vikas Pandey, Jayasree Chakraborty, Debashis Nandi
A Deep Adaptive Convolutional Network for Brain Tumor Segmentation from Multimodal MR Images. TENCON (2019)