Search Results - "Basak, Hritam"

A union of deep learning and swarm-based optimization for 3D human action recognition by Basak, Hritam, Kundu, Rohit, Singh, Pawan Kumar, Ijaz, Muhammad Fazal, Woźniak, Marcin, Sarkar, Ram

“…Human Action Recognition (HAR) is a popular area of research in computer vision due to its wide range of applications such as surveillance, health care, and…”
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Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans by Kundu, Rohit, Basak, Hritam, Singh, Pawan Kumar, Ahmadian, Ali, Ferrara, Massimiliano, Sarkar, Ram

“…COVID-19 has crippled the world’s healthcare systems, setting back the economy and taking the lives of several people. Although potential vaccines are being…”
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Fusion of Radiomics and Deep-learning Features for Improved Myocardial Scar Identification for Hypertrophic Cardiomyopathy from CINE Images by Weber, Jonathan, Basak, Hritam, Li, Yu, Yin, Zhaozheng, Jane Cao, J.

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MFSNet: A multi focus segmentation network for skin lesion segmentation by Basak, Hritam, Kundu, Rohit, Sarkar, Ram

“…•We propose a deep learning model called MFSNet (Multi-Focus Segmentation Network).•MFSNet uses differently scaled feature maps for skin lesion…”
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Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation by Basak, Hritam, Yin, Zhaozheng

“…Although recent works in semi-supervised learning (SemiSL) have accomplished significant success in natural image segmentation, the task of learning…”
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CMR 2-59 - Fusion of Radiomics and Deep-learning Features for Improved Myocardial Scar Identification for Hypertrophic Cardiomyopathy from CINE Images by Weber, Jonathan, Basak, Hritam, Li, Yu, Yin, Zhaozheng, Jane Cao, J.

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Ideal: Improved Dense Local Contrastive Learning For Semi-Supervised Medical Image Segmentation by Basak, Hritam, Chattopadhyay, Soumitri, Kundu, Rohit, Nag, Sayan, Mallipeddi, Rammohan

“…Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis…”
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An Exceedingly Simple Consistency Regularization Method For Semi-Supervised Medical Image Segmentation by Basak, Hritam, Bhattacharya, Rajarshi, Hussain, Rukhshanda, Chatterjee, Agniv

“…The scarcity of pixel-level annotation is a prevalent problem in medical image segmentation tasks. In this paper, we introduce a novel regularization strategy…”
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Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning by Basak, Hritam, Yin, Zhaozheng

“…Although unsupervised domain adaptation (UDA) is a promising direction to alleviate domain shift, they fall short of their supervised counterparts. In this…”
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UT-Net: Combining U-Net and Transformer for Joint Optic Disc and Cup Segmentation and Glaucoma Detection by Hussain, Rukhshanda, Basak, Hritam

“…Glaucoma is a chronic visual disease that may cause permanent irreversible blindness. Measurement of the cup-to-disc ratio (CDR) plays a pivotal role in the…”
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RecU-Net++: Improved Utilization of Receptive Fields in U-Net++ for Skin Lesion Segmentation by Hussain, Rukhshanda, Basak, Hritam

“…Recently skin cancer has emerged as one of the most threatening diseases with an alarming rate of fatality. Though the early detection of this disease is quite…”
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Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation by Chattopadhyay, Soham, Basak, Hritam

“…Despite the growing success of Convolution neural networks (CNN) in the recent past in the task of scene segmentation, the standard models lack some of the…”
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Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI by Basak, Hritam, Ghosal, Sagnik, Sarkar, Ram

“…Due to the imbalanced and limited data, semi-supervised medical image segmentation methods often fail to produce superior performance for some specific tailed…”
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MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation by Basak, Hritam, Kundu, Rohit, Sarkar, Ram

“…Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, and extract discriminative features for…”
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RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection by Basak, Hritam, Das, Mayukhmali, Modak, Susmita

“…Swarm optimization algorithms are widely used for feature selection before data mining and machine learning applications. The metaheuristic nature-inspired…”
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DFENet: A Novel Dimension Fusion Edge Guided Network for Brain MRI Segmentation by Basak, Hritam, Hussain, Rukhshanda, Rana, Ajay

“…The rapid increment of morbidity of brain stroke in the last few years have been a driving force towards fast and accurate segmentation of stroke lesions from…”
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RSO: A Novel Reinforced Swarm Optimization Algorithm for Feature Selection by Basak, Hritam, Das, Mayukhmali, Modak, Susmita

“…Swarm optimization algorithms are widely used for feature selection before data mining and machine learning applications. The metaheuristic nature-inspired…”
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IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation by Basak, Hritam, Chattopadhyay, Soumitri, Kundu, Rohit, Nag, Sayan, Mallipeddi, Rammohan

“…Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis…”
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Monocular Depth Estimation Using Encoder-Decoder Architecture and Transfer Learning from Single RGB Image by Basak, Hritam, Ghosal, Sagnik, Sarkar, Mainak, Das, Mayukhmali, Chattopadhyay, Soham

“…Depth estimation from a single RGB image has been one of the most important research topics in recent days as it has several important applications in…”
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Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection by Chattopadhyay, Soham, Dey, Arijit, Basak, Hritam

“…Emotion recognition from audio signals has been regarded as a challenging task in signal processing as it can be considered as a collection of static and…”
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