S.NO
BIO MEDICAL 2019- 2020
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OK9BM01 A Multi Rate Marginalized Particle Extended Kalman Filter for P and T Wave Segmentation in ECG Signals OK9BM02 A Multi-view Deep Learning Framework for EEG Seizure Detection OK9BM03 A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets OK9BM04 A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal Compression Algorithm with Application on ECG Signals OK9BM05 Accurate segmentation and registration of skin lesion images to evaluate lesion change OK9BM06 Active Contours Based Segmentation and Lesion Periphery Analysis For Characterization of Skin Lesions in Dermoscopy Images OK9BM07 An Improved Skin Lesion Matching Scheme in Total Body Photography OK9BM08 Anatomical Structure Segmentation in Ultrasound Volumes using Cross Frame Belief Propagating Iterative Random Walks OK9BM09 Automated Region of Interest Detection Method in Scintigraphic Glomerular Filtration Rate Estimation OK9BM10 Automatic Detection of Aortic Valve Opening using Seismocardiography in Healthy Individuals OK9BM11 Automatic Detection of Obstructive Sleep Apnea Using Wavelet Transform and Entropy based Features from Single-Lead ECG Signal OK9BM12 Automatic Retinal Layer Segmentation of OCT Images with Central Serous Retinopathy OK9BM13 Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping
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OK9BM14 Biologically Inspired QuadTree Colour Detection in Dermoscopy Images of Melanoma OK9BM15 Cell Segmentation Based on FOPSO Combined with Shape Information Improved Intuitionistic FCM OK9BM16 Data-driven predictive models of diffuse low-grade gliomas under chemotherapy OK9BM17 Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images OK9BM18 Deep Learning: Current and Emerging Applications in Medicine and Technology OK9BM19 Dense Deconvolutional Network for Skin Lesion Segmentation OK9BM20 DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for skin lesion diagnosis OK9BM21 Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network OK9BM22 Dynamic Quantification of Migrainous Thermal Facial Patterns – A Pilot Study OK9BM23 Empirical Mode Decomposition and Monogenic Signal-Based Approach for Quantification of Myocardial Infarction From MR Images OK9BM24 Fast QRS Detection and ECG Compression Based on Signal Structural Analysis OK9BM25 Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features OK9BM26 Groupwise multi-channel image registration
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OK9BM27 Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification
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OK9BM28 Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks
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OK9BM29 Intra-Slice Motion Correction of Intravascular OCT Images Using Deep Features
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OK9BM30 Local Motion Intensity Clustering (LMIC) Model for Segmentation of Right Ventricle in Cardiac MRI Images OK9BM31 MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection OK9BM32 Multitask Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition OK9BM33 Non-rigid image registration using spatially regionweighted correlation ration OK9BM34 Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features OK9BM35 Quantification of Ventricular Repolarization Variation for Sudden Cardiac Death Risk Stratification in Atrial Fibrillation OK9BM36 RACE-Net A Recurrent Neural Network for Biomedical Image Segmentation
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OK9BM37 SDI+A Novel Algorithm for Segmenting Dermoscopic Images OK9BM38 Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model OK9BM39 Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks OK9BM40 Sequential Emboli Detection From Ultrasound Outpatient Data OK9BM41 SetSVM An Approach to Set Classification in NucleiBased Cancer Detection
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Mobile: +91-7806844441, 9994232214. Email: 9chennai@gmail.com, www.okokprojects.com , www.ieeeproject.net
OK9BM42 Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets OK9BM43 Sparse Group Representation Model for Motor Imagery EEG Classification OK9BM44 Speckle Removal Using Diffusion Potential for Optical Coherence Tomography Images OK9BM45 Speckle Tracking of Tendon Displacement in the Carpal Tunnel Improved Quantification Using Singular Value Decomposition OK9BM46 Statistical Detection of Colors in Dermoscopic Images With a Texton-Based Estimation of Probabilities OK9BM47 Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images OK9BM48 Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks OK9BM49 Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks OK9BM50 Weakly Supervised Biomedical Image Segmentation by Reiterative Learning
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Mobile: +91-7806844441, 9994232214. Email: 9chennai@gmail.com, www.okokprojects.com , www.ieeeproject.net