Palash Ghosal

According to our database, Palash Ghosal authored at least 20 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deep learning for precision agriculture: a systematic review of methods, challenges, and future directions.

Kishor Chettri, Biswaraj Sen, Palash Ghosal

Knowl. Inf. Syst., December, 2026

Slidenet: a wavelet-enhanced architecture for landslide segmentation.

Sonam Lhamu Bhutia, Samarjeet Borah, Aaditya Lochan Sharma, Palash Ghosal

Vis. Comput., January, 2026

Multimodal exponential moving average-guided representation for integrated tumor-segmentation and survival prediction.

Ashis Datta, Shashwat Sarkar, Aaditya Lochan Sharma, Palash Ghosal

Eng. Appl. Artif. Intell., 2026

2025

A Template Matching Based Approach for Geolocating Cadastral Aerial Images.

Praveen Kumar Pradhan, Aaditya Lochan Sharma, Shashwat Sarkar, Udayan Baruah, Biswaraj Sen, Palash Ghosal

SN Comput. Sci., October, 2025

Compound attention embedded dual channel encoder-decoder for ms lesion segmentation from brain MRI.

Palash Ghosal, Abhijit Roy, Rohit Agarwal, Kunal Purkayastha, Aaditya Lochan Sharma, Amish Kumar

Multim. Tools Appl., August, 2025

Graphically Residual Attentive Network for tackling aerial image occlusion.

Praveen Kumar Pradhan, Kunal Purkayastha, Aaditya Lochan Sharma, Udayan Baruah, Biswaraj Sen, Palash Ghosal

Comput. Electr. Eng., 2025

Skin lesion segmentation: A systematic review of computational techniques, tools, and future directions.

Aaditya Lochan Sharma, Kalpana Sharma, Palash Ghosal

Comput. Biol. Medicine, 2025

A New Multimodal Cross-Domain Network for Classification of Challenging Scene Images.

Shashwat Sarkar, Kunal Purkayastha, Shivakumara Palaiahnakote, Umapada Pal, Muhammad Hammad Saleem, Palash Ghosal

Proceedings of the Document Analysis and Recognition - ICDAR 2025 Workshops, 2025

2024

SwinSight: a hierarchical vision transformer using shifted windows to leverage aerial image classification.

Praveen Kumar Pradhan, Alloy Das, Amish Kumar, Udayan Baruah, Biswaraj Sen, Palash Ghosal

Multim. Tools Appl., November, 2024

A Locally Weighted Linear Regression-Based Approach for Arbitrary Moving Shaky and Nonshaky Video Classification.

Arnab Halder, Palaiahnakote Shivakumara, Umapada Pal, Michael Blumenstein, Palash Ghosal

Int. J. Pattern Recognit. Artif. Intell., January, 2024

Multi-scale dual-channel feature embedding decoder for biomedical image segmentation.

Rohit Agarwal, Palash Ghosal, Anup K. Sadhu, Narayan Murmu, Debashis Nandi

Comput. Methods Programs Biomed., 2024

DITS: A New Domain Independent Text Spotter.

Kunal Purkayastha, Shashwat Sarkar, Palaiahnakote Shivakumara, Umapada Pal, Palash Ghosal, Xiao-Jun Wu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

DATR: Domain Agnostic Text Recognizer.

Kunal Purkayastha, Shashwat Sarkar, Shivakumara Palaiahnakote, Umapada Pal, Palash Ghosal

Proceedings of the Pattern Recognition - 27th International Conference, 2024

ViT-PlantNet: Enhancing Plant Disease Classification with Encoder-Decoder Architecture.

Kishor Chettri, Biswaraj Sen, Palash Ghosal

Proceedings of the OITS International Conference on Information Technology, 2024

2022

A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images.

Amish Kumar, Palash Ghosal, Soumya Snigdha Kundu, Amritendu Mukherjee, Debashis Nandi

Comput. Methods Programs Biomed., 2022

2021

Filtering Super-Resolution Scan Conversion of Medical Ultrasound Frames.

Dipannita Ghosh, Amish Kumar, Palash Ghosal, Amritendu Mukherjee, Debashis Nandi

Wirel. Pers. Commun., 2021

MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images.

Palash Ghosal, Tamal Chowdhury, Amish Kumar, Ashok Kumar Bhadra, Jayasree Chakraborty, Debashis Nandi

Comput. Methods Programs Biomed., 2021

2020

CSNet: A new DeepNet framework for ischemic stroke lesion segmentation.

Amish Kumar, Neha Upadhyay, Palash Ghosal, Tamal Chowdhury, Dipayan Das, Amritendu Mukherjee, Debashis Nandi

Comput. Methods Programs Biomed., 2020

2019

A Dense U-Net Architecture for Multiple Sclerosis Lesion Segmentation.

Amish Kumar, Oduri Narayana Murthy, Shrish, Palash Ghosal, Amritendu Mukherjee, Debashis Nandi

Proceedings of the TENCON 2019, 2019

A Deep Adaptive Convolutional Network for Brain Tumor Segmentation from Multimodal MR Images.

Palash Ghosal, Shanmukha Reddy, Charan Sai, Vikas Pandey, Jayasree Chakraborty, Debashis Nandi

Proceedings of the TENCON 2019, 2019