129 citations · 259 across the 23 of their papers we have counts for
24 papers
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan +6
Lung cancer is the leading cause of cancer death and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer…
Efficient quantum image representation and compression circuit using zero-discarded state preparation approach
Md Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq +1
Quantum image computing draws a lot of attention due to storing and processing image data faster than classical. With increasing the image size, the number of connections also incr…
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Zihao Li, Pan Gao, Hui Yuan +2
Discovering inter-point connection for efficient high-dimensional feature extraction from point coordinate is a key challenge in processing point cloud. Most existing methods focus…
A novel state connection strategy for quantum computing to represent and compress digital images
Md Ershadul Haque, Manoranjan Paul, Tanmoy Debnath
Quantum image processing draws a lot of attention due to faster data computation and storage compared to classical data processing systems. Converting classical image data into the…
Rate-Distortion Modeling for Bit Rate Constrained Point Cloud Compression
Pan Gao, Shengzhou Luo, Manoranjan Paul
As being one of the main representation formats of 3D real world and well-suited for virtual reality and augmented reality applications, point clouds have gained a lot of popularit…
Vision-Based Robust Lane Detection and Tracking under Different Challenging Environmental Conditions
Samia Sultana, Boshir Ahmed, Manoranjan Paul +2
Lane marking detection is fundamental for both advanced driving assistance systems. However, detecting lane is highly challenging when the visibility of a road lane marking is low…
Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach
Md Ershadul Haque, Salah Uddin, Md Ariful Islam +3
The combination of big data and deep learning is a world-shattering technology that can greatly impact any objective if used properly. With the availability of a large volume of he…
Rice Leaf Disease Classification and Detection Using YOLOv5
Md Ershadul Haque, Ashikur Rahman, Iftekhar Junaeid +2
A staple food in more than a hundred nations worldwide is rice (Oryza sativa). The cultivation of rice is vital to global economic growth. However, the main issue facing the agricu…
Efficient Motion Modelling with Variable-sized blocks from Hierarchical Cuboidal Partitioning
Priyabrata Karmakar, Manzur Murshed, Manoranjan Paul +1
Motion modelling with block-based architecture has been widely used in video coding where a frame is divided into fixed-sized blocks that are motion compensated independently. This…
Efficient dynamic point cloud coding using Slice-Wise Segmentation
Faranak Tohidi, Manoranjan Paul, Anwaar Ulhaq
With the fast growth of immersive video sequences, achieving seamless and high-quality compressed 3D content is even more critical. MPEG recently developed a video-based point clou…
Dynamic Point Cloud Compression with Cross-Sectional Approach
Faranak Tohidi, Manoranjan Paul, Anwaar Ulhaq
The recent development of dynamic point clouds has introduced the possibility of mimicking natural reality, and greatly assisting quality of life. However, to broadcast successfull…
Dilated convolutional neural network-based deep reference picture generation for video compression
Haoyue Tian, Pan Gao, Ran Wei +1
Motion estimation and motion compensation are indispensable parts of inter prediction in video coding. Since the motion vector of objects is mostly in fractional pixel units, origi…
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
Michael Horry, Subrata Chakraborty, Biswajeet Pradhan +5
Lung cancer is the leading cause of cancer death worldwide and a good prognosis depends on early diagnosis. Unfortunately, screening programs for the early diagnosis of lung cancer…
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan +3
The COVID-19 pandemic has inspired unprecedented data collection and computer vision modelling efforts worldwide, focusing on diagnosis and stratification of COVID-19 from medical…
Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
Ashek Ahmmed, Manoranjan Paul, Manzur Murshed +1
Video coding algorithms encode and decode an entire video frame while feature coding techniques only preserve and communicate the most critical information needed for a given appli…
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features
Douglas P. S. Gomes, Michael J. Horry, Anwaar Ulhaq +5
The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of med…
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
Douglas P. S. Gomes, Anwaar Ulhaq, Manoranjan Paul +5
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in…
Towards Domain-Specific Characterization of Misinformation
Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan +1
The rapid dissemination of health misinformation poses an increasing risk to public health. To best understand the way of combating health misinformation, it is important to acknow…
Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
Manoranjan Paul, Sourabhi Debnath, Tanmoy Debnath +5
Hyperspectral (HS) imaging was successfully employed in the 380 nm to 1000 nm wavelength range to investigate the efficacy of detecting age, healthiness and individual nutrient def…
Rain Streak Removal in a Video to Improve Visibility by TAWL Algorithm
Muhammad Rafiqul Islam, Manoranjan Paul
In computer vision applications, the visibility of the video content is crucial to perform analysis for better accuracy. The visibility can be affected by several atmospheric inter…
Computer Vision For COVID-19 Control: A Survey
Anwaar Ulhaq, Asim Khan, Douglas Gomes +1
The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intell…
A Practical Blockchain Framework using Image Hashing for Image Authentication
Cameron White, Manoranjan Paul, Subrata Chakraborty
Blockchain is a relatively new technology that can be seen as a decentralised database. Blockchain systems heavily rely on cryptographic hash functions to store their data, which m…
Automatically Assessing Quality of Online Health Articles
Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan +1
The information ecosystem today is overwhelmed by an unprecedented quantity of data on versatile topics are with varied quality. However, the quality of information disseminated in…
A block-based inter-band predictor using multilayer propagation neural network for hyperspectral image compression
Rui Dusselaar, Manoranjan Paul
In this paper, a block-based inter-band predictor (BIP) with multilayer propagation neural network model (MLPNN) is presented by a completely new framework. This predictor can comb…