20 citations · 22 across the 5 of their papers we have counts for
7 papers
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data
Harshita Seth, Pulkit Kumar, Muktabh Mayank Srivastava
Continuous Speech Keyword Spotting (CSKS) is the problem of spotting keywords in recorded conversations, when a small number of instances of keywords are available in training data…
LeukoNet: DCT-based CNN architecture for the classification of normal versus Leukemic blasts in B-ALL Cancer
Simmi Mourya, Sonaal Kant, Pulkit Kumar +2
Acute lymphoblastic leukemia (ALL) constitutes approximately 25% of the pediatric cancers. In general, the task of identifying immature leukemic blasts from normal cells under the…
U-SegNet: Fully Convolutional Neural Network based Automated Brain tissue segmentation Tool
Pulkit Kumar, Pravin Nagar, Chetan Arora +1
Automated brain tissue segmentation into white matter (WM), gray matter (GM), and cerebro-spinal fluid (CSF) from magnetic resonance images (MRI) is helpful in the diagnosis of neu…
A Big Data Analysis Framework Using Apache Spark and Deep Learning
Anand Gupta, Hardeo Thakur, Ritvik Shrivastava +2
With the spreading prevalence of Big Data, many advances have recently been made in this field. Frameworks such as Apache Hadoop and Apache Spark have gained a lot of traction over…
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava
Chest X-ray is one of the most accessible medical imaging technique for diagnosis of multiple diseases. With the availability of ChestX-ray14, which is a massive dataset of chest X…
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks
Srikrishna Varadarajan, Muktabh Mayank Srivastava, Monika Grewal +1
This work is an endeavor to develop a deep learning methodology for automated anatomical labeling of a given region of interest (ROI) in brain computed tomography (CT) scans. We co…