Lalith Bharadwaj Baru
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View article: Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge
Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge Open
Accurate segmentation of medical images is challenging due to unclear lesion boundaries and mask variability. We introduce \emph{Segmentation Schödinger Bridge (SSB)}, the first application of Schödinger Bridge for ambiguous medical image …
View article: Ochronotic Arthropathy of the Shoulder – A Rare Case Report
Ochronotic Arthropathy of the Shoulder – A Rare Case Report Open
Introduction: Alkaptonuria is a metabolic disorder due to accumulation of homogentisic acid, leading to destruction of major joints. Very few cases of ochronosis with shoulder involvement have been reported in literature. Case Report: We r…
View article: Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection Open
The evolution of digital image manipulation, particularly with the advancement of deep generative models, significantly challenges existing deepfake detection methods, especially when the origin of the deepfake is obscure. To tackle the in…
View article: HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges Open
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by varied social cognitive challenges and repetitive behavioral patterns. Identifying reliable brain imaging-based biomarkers for ASD has been a persistent chal…
View article: BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision Open
Brain stroke has become a significant burden on global health and thus we need remedies and prevention strategies to overcome this challenge. For this, the immediate identification of stroke and risk stratification is the primary task for …
View article: Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity
Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity Open
Neural networks trained on standard image classification data sets are shown to be less resistant to data set bias. It is necessary to comprehend the behavior objective function that might correspond to superior performance for data with b…
View article: Intelligent Disease Diagnosis Model for Energy Aware Cluster Based IoT Healthcare Systems
Intelligent Disease Diagnosis Model for Energy Aware Cluster Based IoT Healthcare Systems Open
In recent days, advancements in the Internet of Things (IoT) and cloud computing (CC) technologies have emerged in different application areas, particularly healthcare. The use of IoT devices in healthcare sector often generates large amou…
View article: Deep Stacked Ensemble Learning Model for COVID-19 Classification
Deep Stacked Ensemble Learning Model for COVID-19 Classification Open
COVID-19 is a growing problem worldwide with a high mortality rate. As a result, the World Health Organization (WHO) declared it a pandemic. In order to limit the spread of the disease, a fast and accurate diagnosis is required. A reverse …
View article: Improvising the Learning of Neural Networks on Hyperspherical Manifold
Improvising the Learning of Neural Networks on Hyperspherical Manifold Open
The impact of convolution neural networks (CNNs) in the supervised settings provided tremendous increment in performance. The representations learned from CNN's operated on hyperspherical manifold led to insightful outcomes in face recogni…
View article: Plant Disease Classification Using Deep Bilinear CNN
Plant Disease Classification Using Deep Bilinear CNN Open
Plant diseases have become a major threat in farming and provision of food. Various plant diseases have affected the natural growth of the plants and the infected plants are the leading factors for loss of crop production. The manual detec…
View article: An Attention Based Neural Architecture for Arrhythmia Detection and Classification from ECG Signals
An Attention Based Neural Architecture for Arrhythmia Detection and Classification from ECG Signals Open
Arrhythmia is ubiquitous worldwide and cardiologists tend to provide solutions from the recent advancements in medicine. Detecting arrhythmia from ECG signals is considered a standard approach and hence, automating this process would aid t…
View article: Leaf Image Classification with the Aid of Transfer Learning: A Deep Learning Approach
Leaf Image Classification with the Aid of Transfer Learning: A Deep Learning Approach Open
Background: Crop diseases are a primary hazard to nutrient safety, which proves to be a serious problem in many places in the world due to the unavailability of essential aid. Typically agriculturalists or specialists perceive the plants w…