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PROJECTS LIST
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
PDF/DOC
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
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 onvolutional 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
OK9BM27
Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification
OK9BM28
Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks
OK9BM29
Intra-Slice Motion Correction of Intravascular OCT Images Using Deep Features
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 region-weighted 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
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 Nuclei-Based Cancer Detection
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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