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Ebtasam Ahmad Siddiqui

Observed names: Ebtsam Ahmad Siddiqui, Siddiqui, Ebtasam Ahmad
ORCID: 0000-0002-0323-5441
Observed ORCID: 0000-0002-0323-5441
OpenAlex ID: A5055176280
Detection and classification of lung cancer computed tomography images using a novel improved deep belief network with Gabor filters
2023 · Ebtasam Ahmad Siddiqui, Vijayshri Chaurasia, et al. · Chemometrics and Intelligent Laboratory Systems · 92
Classification of lung cancer computed tomography images using a 3-dimensional deep convolutional neural network with multi-layer filter
2023 · Ebtasam Ahmad Siddiqui, Vijayshri Chaurasia, et al. · Journal of Cancer Research and Clinical Oncology · 36
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Computed Tomography Image Processing Methods for Lung Nodule Detection and Classification: A Review
2022 · Ebtasam Ahmad Siddiqui, Vijayshri Chourasia, et al. · Lecture notes in electrical engineering · 16
A Review of Optimization Techniques for Classification of Computed Tomography Images
2024 · Ebtasam Ahmad Siddiqui, Vijayshri Chaurasia, et al. · Lecture notes in electrical engineering · 10
Detection And Classification of Lung Cancer CT Images Using Mask R-CNN Based Generated Mask Method
2023 · Sucheta Bhardwaj, Ebtasam Ahmad Siddiqui, et al. · IEEE International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP) · 10
A Novel Dense-Net Deep Neural Network Method for Classify Tuberculosis Stages Using Chest X-Ray Images with Enhanced Features
2024 · Ebtasam Ahmad Siddiqui, Rajneesh Kumar Patel · International Conference on Data, Computation and Communication (ICDCC) · 9
Feature Extraction Based Domain Kickout Method For Fractal Image Compression
2023 · Sucheta Bhardwaj, Vijayshri Chaurasia, et al. · IEEE International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP) · 9
Enhanced Image Compression Using Fractals and Principle Component Analysis
2023 · Manish Tiwari, Vijayshri Chaurasia, et al. · IEEE International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP) · 9
Considering the Clinical Significance of Artificial Intelligence and Biosensors in the Healthcare Sector: A Review
2024 · Benazeer Haque, Ebtasam Ahmad Siddiqui, et al. · IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) · 8
Automated Lung Cancer Detection using Prewitt Gradient Kernel & SVM from CT-Lung Images
2023 · Manish Tiwari, Ayush Bhargava, et al. · IEEE International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP) · 8
Nucleion Segmentation for Breast Cancer Classification
2024 · Vijayshri Chaurasia, Mamta Patankar, et al. · International Conference on Computer and Automation Engineering · 7
Enhanced satellite image resolution with a residual network and correlation filter
2024 · Ajay Sharma, Bhavana P. Shrivastava, et al. · Chemometrics and Intelligent Laboratory Systems · 6
Machine Learning Solutions in Smart Healthcare: Features, Applications, and Challenges
2024 · Vivek Patel, Vijayshri Chaurasia, et al. · Advances in computational intelligence and robotics book series · 3
Optimized tuberculosis image classification in chest X-rays using transfer learning and hyper parameters
2025 · Benazeer Haque, Ebtasam Ahmad Siddiqui, et al. · IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) · 2
Chatbots and Virtual Assistant on Web Institution
2024 · Ebtasam Ahmad Siddiqui, Benazeer Haque, et al. · International Conference on Information Management & Machine Intelligence (ICIMMI) · 2
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Cross-Level Attention Feature Fusion-Based Deep Learning Process for Breast Cancer Diagnosis
2025 · Vivek Patel, Vijayshri Chaurasia, et al. · SpringerBriefs in applied sciences and technology · 1
Modelling and Simulation of Heterojunction TFETs: Tackling Performance Challenges Through Machine Learning and Advanced Computational Techniques
2024 · Adil Tanveer, Kaushal Nigam, et al. · International Conference on Information Management & Machine Intelligence (ICIMMI) · 1
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Enhanced Breast Cancer Detection Using a Hybrid Vision Transformer and CNN Model with Optimized Feature Integration
2024 · Uday Pratap Singh, Bersha Kumari, et al. · International Conference on Information Management & Machine Intelligence (ICIMMI) · 1
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An innovative approach to classifying various phases of tuberculosis using an improved Spiking Neural Network applied to X-ray images
2024 · Uday Pratap Singh, Bersha Kumari, et al. · International Conference on Information Management & Machine Intelligence (ICIMMI) · 1
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Considering Artificial Intelligence and Machine Learning in Pharmaceutical Industries Research and Development
2024 · Benazeer Haque, Ebtasam Ahmad Siddiqui · International Conference on Data, Computation and Communication (ICDCC) · 1
6G-Blockchain Integrated Smart Healthcare Framework
2026 · Uday Pratap Singh, Bersha Kumari, et al. · CRC Press eBooks
Improving tuberculosis detection in chest X-rays using Vision Transformers and transfer learning with XGBoost
2026 · Ebtasam Ahmad Siddiqui, Vijayshri Chaurasia, et al. · Cluster Computing
Improved computed tomography image classification for lung cancer: An optimized spiking neural network approach with efficient Gabor Filter
2026 · Ebtasam Ahmad Siddiqui · Chemometrics and Intelligent Laboratory Systems
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2026 · Singh, Uday Pratap, Kumari, Bersha, et al. · Zenodo (CERN European Organization for Nuclear Research)
Adaptive Sparsity-Aware Transformers: A Differentiable Constrained Optimization Framework for Sustainable AI
2026 · Uday Pratap Singh, Bersha Kumari, et al. · IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
Works count: 34
Citation count: 232
H-index: 8
I10-index: 5
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