BIO MEDICAL 2019- 2020

BIO MEDICAL 2019- 2020

BIO MEDICAL 2019- 2020
BIO MEDICAL 2019- 2020

 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

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OK9BM02

A Multi-view Deep Learning Framework for EEG Seizure Detection

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OK9BM03

A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets

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OK9BM04

A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal Compression Algorithm with Application on ECG Signals

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OK9BM05

Accurate segmentation and registration of skin lesion images to evaluate lesion change

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OK9BM06

Active Contours Based Segmentation and Lesion Periphery Analysis For Characterization of Skin Lesions in Dermoscopy Images

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OK9BM07

An Improved Skin Lesion Matching Scheme in Total Body Photography

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OK9BM08

Anatomical Structure Segmentation in Ultrasound Volumes using Cross Frame Belief Propagating Iterative Random Walks

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OK9BM09

Automated Region of Interest Detection Method in Scintigraphic Glomerular Filtration Rate Estimation

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OK9BM10

Automatic Detection of Aortic Valve Opening using Seismocardiography in Healthy Individuals

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OK9BM11

Automatic Detection of Obstructive Sleep Apnea Using Wavelet Transform and Entropy based Features from Single-Lead ECG Signal

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OK9BM12

Automatic Retinal Layer Segmentation of OCT Images with Central Serous Retinopathy

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OK9BM13

Band-Limited Stokes Large Deformation Diffeomorphic Metric Mapping 

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OK9BM14

Biologically Inspired QuadTree Colour Detection in Dermoscopy Images of Melanoma

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OK9BM15

Cell Segmentation Based on FOPSO Combined with Shape Information Improved Intuitionistic FCM

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OK9BM16

Data-driven predictive models of diffuse low-grade gliomas under chemotherapy

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OK9BM17

Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images

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OK9BM18

Deep Learning: Current and Emerging Applications in Medicine and Technology

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OK9BM19

Dense Deconvolutional Network for Skin Lesion Segmentation

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OK9BM20

DermaKNet: Incorporating the knowledge of dermatologists to  onvolutional Neural Networks for skin lesion diagnosis

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OK9BM21

Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network

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OK9BM22

Dynamic Quantification of Migrainous Thermal Facial Patterns – A Pilot Study

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OK9BM23

Empirical Mode Decomposition and Monogenic Signal-Based Approach for Quantification of Myocardial Infarction From MR Images

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OK9BM24

Fast QRS Detection and ECG Compression Based on Signal Structural Analysis

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OK9BM25

Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features

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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

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OK9BM31

MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection

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OK9BM32

Multitask Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition

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OK9BM33

Non-rigid image registration using spatially region-weighted correlation ration

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OK9BM34

Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features

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OK9BM35

Quantification of Ventricular Repolarization Variation for Sudden Cardiac Death Risk Stratification in Atrial Fibrillation

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OK9BM36

RACE-Net A Recurrent Neural Network for Biomedical Image Segmentation

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OK9BM37

SDI+A Novel Algorithm for Segmenting Dermoscopic Images

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OK9BM38

Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model

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OK9BM39

Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks

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OK9BM40

Sequential Emboli Detection From Ultrasound Outpatient Data

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OK9BM41

SetSVM An Approach to Set Classification in Nuclei-Based Cancer Detection 

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OK9BM42

Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets

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OK9BM43

Sparse Group Representation Model for Motor Imagery EEG Classification

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OK9BM44

Speckle Removal Using Diffusion Potential for Optical Coherence Tomography Images

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OK9BM45

Speckle Tracking of Tendon Displacement in the Carpal Tunnel Improved Quantification Using Singular Value Decomposition

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OK9BM46

Statistical Detection of Colors in Dermoscopic Images With a Texton-Based Estimation of Probabilities

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OK9BM47

Supervised Saliency Map Driven Segmentation of Lesions in Dermoscopic Images

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OK9BM48

Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks

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OK9BM49

Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks

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OK9BM50

Weakly Supervised Biomedical Image Segmentation by Reiterative Learning

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