38 citations · 235 across the 22 of their papers we have counts for
9 papers · 1 filter
MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for Segmentation of Polyps in Colonoscopy
Chandravardhan Singh Raghaw, Aryan Yadav, Jasmer Singh Sanjotra +2
Objective: To develop a novel deep learning framework for the automated segmentation of colonic polyps in colonoscopy images, overcoming the limitations of current approaches in pr…
KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making
Mohammad Zia Ur Rehman, Devraj Raghuvanshi, Nagendra Kumar
Delivering prompt information and guidance to farmers is critical in agricultural decision-making. Farmers helpline centres are heavily reliant on the expertise and availability of…
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
Chandravardhan Singh Raghaw, Parth Shirish Bhore, Mohammad Zia Ur Rehman +1
Pediatric pneumonia remains a significant global threat, posing a larger mortality risk than any other communicable disease. According to UNICEF, it is a leading cause of mortality…
CoTCoNet: An Optimized Coupled Transformer-Convolutional Network with an Adaptive Graph Reconstruction for Leukemia Detection
Chandravardhan Singh Raghaw, Arnav Sharma, Shubhi Bansal +2
Swift and accurate blood smear analysis is an effective diagnostic method for leukemia and other hematological malignancies. However, manual leukocyte count and morphological evalu…
A Hybrid Filtering for Micro-video Hashtag Recommendation using Graph-based Deep Neural Network
Shubhi Bansal, Kushaan Gowda, Mohammad Zia Ur Rehman +2
Due to the growing volume of user generated content, hashtags are employed as topic indicators to manage content efficiently on social media platforms. However, finding these vital…
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis
Prasad Chaudhari, Aman Kumar, Chandravardhan Singh Raghaw +2
Sentiment analysis and emotion recognition in videos are challenging tasks, given the diversity and complexity of the information conveyed in different modalities. Developing a hig…
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies: a benchmark dataset and method
Shahid Shafi Dar, Mohammad Zia Ur Rehman, Karan Bais +2
In times of crisis, the prompt and precise classification of disaster-related information shared on social media platforms is crucial for effective disaster response and public saf…
A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond
Shubhi Bansal, Sreeharish A, Madhava Prasath J +6
Mamba, a special case of the State Space Model, is gaining popularity as an alternative to template-based deep learning approaches in medical image analysis. While transformers are…
A Multilateral Attention-enhanced Deep Neural Network for Disease Outbreak Forecasting: A Case Study on COVID-19
Ashutosh Anshul, Jhalak Gupta, Mohammad Zia Ur Rehman +1
The worldwide impact of the recent COVID-19 pandemic has been substantial, necessitating the development of accurate forecasting models to predict the spread and course of a pandem…