Sushmita Mitra
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View article: Treatment of a severe vascular disease using a bespoke CRISPR–Cas9 base editor in mice
Treatment of a severe vascular disease using a bespoke CRISPR–Cas9 base editor in mice Open
Pathogenic missense mutations in the alpha actin isotype 2 (ACTA2) gene cause multisystemic smooth muscle dysfunction syndrome (MSMDS), a genetic vasculopathy that is associated with stroke, aortic dissection and death in childhood. Here w…
View article: Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India
Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India Open
Diabetic retinopathy (DR), a prevalent microvascular complication of diabetes, is the fifth leading cause of blindness worldwide. Given the critical nature of the disease, it is paramount that individuals with diabetes undergo annual scree…
View article: Role of Proliferative Marker (Ki-67) and ER, PR in Cervical Epithelial Lesions with Clinicopathological Association: A Cross-sectional Study
Role of Proliferative Marker (Ki-67) and ER, PR in Cervical Epithelial Lesions with Clinicopathological Association: A Cross-sectional Study Open
Introduction: Cervical cancer is the fourth most common cancer affecting women worldwide, following breast, colorectal and lung cancer. India contributes 28% of the cervical cancer mortality burden, with 87,090 deaths due to cervical cance…
View article: Efficient Self-Supervised Grading of Prostate Cancer Pathology
Efficient Self-Supervised Grading of Prostate Cancer Pathology Open
Prostate cancer grading using the ISUP system (International Society of Urological Pathology) for treatment decisions is highly subjective and requires considerable expertise. Despite advances in computer-aided diagnosis systems, few have …
View article: Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye
Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye Open
View article: Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal
Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal Open
In this article, we propose a memristor-based selective convolutional (MSC) circuit for salt-and-pepper (SAP) noise removal. We implement its algorithm using memristors in analog circuits. In experiments, we build the MSC model and benchma…
View article: <i>In vivo</i>Treatment of a Severe Vascular Disease via a Bespoke CRISPR-Cas9 Base Editor
<i>In vivo</i>Treatment of a Severe Vascular Disease via a Bespoke CRISPR-Cas9 Base Editor Open
Genetic vascular disorders are prevalent diseases that have diverse etiologies and few treatment options. Pathogenic missense mutations in the alpha actin isotype 2 gene ( ACTA2 ) primarily affect smooth muscle cell (SMC) function and caus…
View article: Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?
Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation? Open
The development of efficient segmentation strategies for medical images has evolved from its initial dependence on Convolutional Neural Networks (CNNs) to the current investigation of hybrid models that combine CNNs with Vision Transformer…
View article: Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer Open
This study focuses on the classification of cancerous and healthy slices from multimodal lung images. The data used in the research comprises Computed Tomography (CT) and Positron Emission Tomography (PET) images. The proposed strategy ach…
View article: Large Minded Reasoners for Soft and Hard Cluster Validation -- Some Directions
Large Minded Reasoners for Soft and Hard Cluster Validation -- Some Directions Open
In recent research, validation methods for soft and hard clustering through general granular rough clusters are proposed by the first author.Large-minded reasoners are introduced and studied in the context of new concepts of nonstochastic …
View article: Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT Open
An early effective screening and grading of COVID-19 has become imperative towards optimizing the limited available resources of the medical facilities. An automated segmentation of the infected volumes in lung CT is expected to significan…
View article: Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT Open
An early effective screening and grading of COVID-19 has become imperative towards optimizing the limited available resources of the medical facilities. An automated segmentation of the infected volumes in lung CT is expected to significan…
View article: Table of Contents
Table of Contents Open
View article: Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT
Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT Open
The devastation caused by the coronavirus pandemic makes it imperative to design automated techniques for a fast and accurate detection. We propose a novel non-invasive tool, using deep learning and imaging, for delineating COVID-19 infect…
View article: Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT
Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT Open
The devastation caused by the coronavirus pandemic makes it imperative to design automated techniques for a fast and accurate detection. We propose a novel non-invasive tool, using deep learning and imaging, for delineating COVID-19 infect…
View article: FULL-SCALE DEEPLY SUPERVISED ATTENTION NETWORK FOR SEGMENTING COVID-19 LESIONS
FULL-SCALE DEEPLY SUPERVISED ATTENTION NETWORK FOR SEGMENTING COVID-19 LESIONS Open
Automated delineation of COVID-19 lesions from lung CT scans aids the diagnosis and prognosis for patients. The asymmetric shapes and positioning of the infected regions make the task extremely difficult. Capturing information at multiple …
View article: Full-scale Deeply Supervised Attention Network for Segmenting COVID-19 Lesions
Full-scale Deeply Supervised Attention Network for Segmenting COVID-19 Lesions Open
Automated delineation of COVID-19 lesions from lung CT scans aids the diagnosis and prognosis for patients. The asymmetric shapes and positioning of the infected regions make the task extremely difficult. Capturing information at multiple …
View article: Granular Generalized Variable Precision Rough Sets and Rational Approximations
Granular Generalized Variable Precision Rough Sets and Rational Approximations Open
Rational approximations are introduced and studied in granular graded rough sets and generalizations thereof by the first author in recent research papers. The concept of rationality is determined by related ontologies and coherence betwee…
View article: Is first-order relativistic hydrodynamics in general frame stable and causal for arbitrary interaction?
Is first-order relativistic hydrodynamics in general frame stable and causal for arbitrary interaction? Open
We derive a first-order, stable and causal, relativistic hydrodynamic theory from the microscopic kinetic equation using the gradient expansion technique in a general frame. The general frame is introduced from the arbitrary matching condi…
View article: 2021 International Symposium on Signals, Circuits and Systems, Iasi, Romania [CAS Society News]
2021 International Symposium on Signals, Circuits and Systems, Iasi, Romania [CAS Society News] Open
been held since 1993 every two years in Ias ¸i, a beautiful town in the North-Eastern part of Romania
View article: Analysis of MRI Biomarkers for Brain Cancer Survival Prediction
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction Open
Prediction of Overall Survival (OS) of brain cancer patients from multi-modal MRI is a challenging field of research. Most of the existing literature on survival prediction is based on Radiomic features, which does not consider either non-…
View article: Committees
Committees Open
View article: DeepSGP: Deep Learning for Gene Selection and Survival Group Prediction in Glioblastoma
DeepSGP: Deep Learning for Gene Selection and Survival Group Prediction in Glioblastoma Open
Glioblastoma Multiforme (GBM) is an aggressive form of glioma, exhibiting very poor survival. Genomic input, in the form of RNA sequencing data (RNA-seq), is expected to provide vital information about the characteristics of the genes that…
View article: Deep Learning for Screening COVID-19 using Chest X-Ray Images
Deep Learning for Screening COVID-19 using Chest X-Ray Images Open
A bstract With the ever increasing demand for screening millions of prospective “novel coronavirus” or COVID-19 cases, and due to the emergence of high false negatives in the commonly used PCR tests, the necessity for probing an alternativ…
View article: Glioma Classification Using Deep Radiomics
Glioma Classification Using Deep Radiomics Open
Glioma constitutes $$80\%$$ of malignant primary brain tumors in adults, and is usually classified as high-grade glioma (HGG) and low-grade glioma (LGG). The LGG tumors are less aggressive, with slower growth rate as compared to HGG, and a…
View article: Novel Volumetric Sub-region Segmentation in Brain Tumors
Novel Volumetric Sub-region Segmentation in Brain Tumors Open
A novel deep learning based model called Multi-Planar Spatial Convolutional Neural Network (MPS-CNN) is proposed for effective, automated segmentation of different sub-regions viz. peritumoral edema (ED), necrotic core (NCR), enhancing and…
View article: Iris Segmentation Using Interactive Deep Learning
Iris Segmentation Using Interactive Deep Learning Open
Automated iris segmentation is an important component of biometric identification. The role of artificial intelligence, particularly machine learning and deep learning, has been considerable in such automated delineation strategies. Althou…
View article: Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI Open
Glioma constitutes 80% of malignant primary brain tumors and is usually classified as HGG and LGG. The LGG tumors are less aggressive, with slower growth rate as compared to HGG, and are responsive to therapy. Tumor biopsy being challengin…
View article: Applications of Fuzzy Sets Theory: 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings
Applications of Fuzzy Sets Theory: 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings Open
View article: NEUREL 2018 Breaker Page
NEUREL 2018 Breaker Page Open