Search Results - "Gohel, Bakul"
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Presegmenter Cascaded Framework for Mammogram Mass Segmentation
Published in International journal of biomedical imaging (2024)“…Accurate segmentation of breast masses in mammogram images is essential for early cancer diagnosis and treatment planning. Several deep learning (DL) models…”
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Digital mammography dataset for breast cancer diagnosis research (DMID) with breast mass segmentation analysis
Published in Biomedical engineering letters (01-03-2024)“…Purpose: In the last two decades, computer-aided detection and diagnosis (CAD) systems have been created to help radiologists discover and diagnose lesions…”
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Approximate Subject Specific Pseudo MRI from an Available MRI Dataset for MEG Source Imaging
Published in Frontiers in neuroinformatics (08-08-2017)“…Computation of headmodel and sourcemodel from the subject's MRI scan is an essential step for source localization of magnetoencephalography (MEG) (or EEG)…”
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Dynamic pattern decoding of source-reconstructed MEG or EEG data: Perspective of multivariate pattern analysis and signal leakage
Published in Computers in biology and medicine (01-02-2018)“…Recently, an increasing number of studies have employed multivariate pattern analysis (MVPA) rather than univariate analysis for the dynamic pattern decoding…”
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Evaluation of Phase-Amplitude Coupling in Resting State Magnetoencephalographic Signals: Effect of Surrogates and Evaluation Approach
Published in Frontiers in computational neuroscience (25-11-2016)“…Phase-amplitude coupling (PAC) plays an important role in neural communication and computation. Interestingly, recent studies have indicated the presence of…”
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EEG/MEG source imaging in the absence of subject's brain MRI scan: Perspective on co‐registration and MRI selection approach
Published in International journal of imaging systems and technology (01-01-2023)“…EEG/MEG source localization requires a subject's brain MRI to compute the sourcemodel and headmodel. As part of this computation, co‐registration of the…”
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Nearest-neighbor classifier as a tool for classification of protein families
Published in Bioinformation (31-03-2010)“…Knowledge about protein function is essential in understanding the biological processes. A specific class or family of protein shares common structural and…”
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Sensory modality-specific spatio-temporal dynamics in response to counting tasks
Published in Neuroscience letters (03-10-2014)“…•We compared EEG spatio-temporal dynamics of brain activity across the sensory modalities.•Beep-, flash- and click-counting task for auditory, visual and…”
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Modality-specific spectral dynamics in response to visual and tactile sequential shape information processing tasks: An MEG study using multivariate pattern classification analysis
Published in Brain research (01-08-2016)“…Abstract Brain regions that respond to more than one sensory modality are characterized as multisensory regions. Studies on the processing of shape or object…”
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Momentary level of slow default mode network activity is associated with distinct propagation and connectivity patterns in the anesthetized mouse cortex
Published in Journal of neurophysiology (01-02-2018)“…Complex spatiotemporal changes of slow spontaneous activity occur in the form of propagating waves in the cortex, leading to the transient formation of a…”
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Cover Image
Published in Human brain mapping (10-04-2018)“…COVER ILLUSTRATION During warmth sensation, the activation in the primary somatosensory cortex (SI) currently remains controversial in the EEG and fMRI…”
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Magnetoencephalographic study of event‐related fields and cortical oscillatory changes during cutaneous warmth processing
Published in Human brain mapping (01-05-2018)“…Thermoreception is an important cutaneous sense, which plays a role in the maintenance of our body temperature and in the detection of potential noxious heat…”
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Low-Resolution Face Recognition Using Multi-Stream CNN in Siamese Framework
Published in 2023 Seventh International Conference on Image Information Processing (ICIIP) (22-11-2023)“…Face recognition systems have been significantly advanced in recent times by the emergence and advancement of deep learning approaches. However, low-resolution…”
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Conference Proceeding -
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Impact of Stain Normalisation Technique on Deep Learning based Nuclei Segmentation in Histopathological Image
Published in 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) (01-02-2023)“…Cell nuclei count and morphology are the key parameters in the histopathological image for evaluating various pathological conditions. However, the manual…”
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Conference Proceeding -
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Vocal/Music Classification using Incremental Learning Approach
Published in 2022 International Conference on Signal and Information Processing (IConSIP) (26-08-2022)“…Multimedia Data Content Labeling has been a research area for a relatively long period. Researchers have spent a substantial amount of time classifying video…”
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Conference Proceeding -
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ConvNet Model Evaluation for Binary and Multilabel Breast Mammogram Mass Segmentation
Published in 2024 11th International Conference on Signal Processing and Integrated Networks (SPIN) (21-03-2024)“…Breast mass segmentation in mammograms is a vital step in breast cancer screening. Convolution neural networks (ConvNets) based models have been widely used to…”
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Conference Proceeding -
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Automated Risk Identification of Myocardial Infarction Using Relative Frequency Band Coefficient (RFBC) Features from ECG
Published in The open biomedical engineering journal (2010)“…Various structural and functional changes associated with ischemic (myocardial infarcted) heart cause amplitude and spectral changes in signals obtained at…”
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Smart Computer-Assisted Total Knee Arthroplasty
Published in 2024 IEEE Applied Sensing Conference (APSCON) (22-01-2024)“…Osteoarthritis is a prevalent condition globally in adults (especially aged > 60 years). It is the primary cause of the painful joint condition. Surgical…”
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Conference Proceeding -
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Segmentation of Nuclei in H&E-Stained Histological Images using Deep Learning Framework: A Perspective on Ensemble Approach and Nuclei Count
Published in 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC) (16-10-2023)“…Quantitative and qualitative analysis of cell nuclei in histopathological images have significant importance in the detection and grading of cancer and other…”
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Conference Proceeding