Ashnil Kumar

Orcid: 0000-0001-6236-7324

According to our database1, Ashnil Kumar authored at least 57 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images.
IEEE Trans. Medical Imaging, 2022

An attention-enhanced cross-task network to analyse lung nodule attributes in CT images.
Pattern Recognit., 2022

Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review.
BMC Bioinform., 2022

2021
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation.
IEEE J. Biomed. Health Informatics, 2021

Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation.
CoRR, 2021

Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning.
CoRR, 2021

Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT.
CoRR, 2021

2020
Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer.
IEEE Trans. Medical Imaging, 2020

Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation.
IEEE Trans. Medical Imaging, 2020

2019
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.
IEEE Trans. Medical Imaging, 2019

Step-wise integration of deep class-specific learning for dermoscopic image segmentation.
Pattern Recognit., 2019

Convolutional sparse kernel network for unsupervised medical image analysis.
Medical Image Anal., 2019

Semi-supervised estimation of event temporal length for cell event detection.
CoRR, 2019

Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification.
CoRR, 2019

A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency.
Int. J. Comput. Assist. Radiol. Surg., 2019

Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Unsupervised Deep Transfer Feature Learning for Medical Image Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A deep learning technique for imputing missing healthcare data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis.
CoRR, 2018

Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis.
Comput. Graph. Forum, 2018

Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots.
J. Vis. Lang. Comput., 2017

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation.
Vis. Comput., 2017

Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets.
IEEE J. Biomed. Health Informatics, 2017

An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
IEEE J. Biomed. Health Informatics, 2017

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.
IEEE J. Biomed. Health Informatics, 2017

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
IEEE Trans. Biomed. Eng., 2017

An unsupervised long short-term memory neural network for event detection in cell videos.
CoRR, 2017

Automatic Liver Lesion Detection using Cascaded Deep Residual Networks.
CoRR, 2017

Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies.
Comput. Medical Imaging Graph., 2017

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs).
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Neural Captioning for the ImageCLEF 2017 Medical Image Challenges.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
Adapting content-based image retrieval techniques for the semantic annotation of medical images.
Comput. Medical Imaging Graph., 2016

Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram.
Comput. Medical Imaging Graph., 2016

Transfer learning of a convolutional neural network for HEp-2 cell image classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network.
Proceedings of the Working Notes of CLEF 2016, 2016

An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling.
Proceedings of the Short Paper Proceedings of the 33rd Computer Graphics International, Heraklion, Greece, June 28, 2016

2015
A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval.
IEEE J. Biomed. Health Informatics, 2015

Convolutional Neural Networks for Subfigure Classification.
Proceedings of the Working Notes of CLEF 2015, 2015

Convolutional Neural Networks for Medical Clustering.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
A graph-based approach for the retrieval of multi-modality medical images.
Medical Image Anal., 2014

Efficient PET-CT image retrieval using graphs embedded into a vector space.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images.
Proceedings of the Joint Proceedings of the Fourth International Workshop on Euler Diagrams and the First International Workshop on Graph Visualization in Practice co-located with Diagrams 2014, 2014

Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013
A graph-based approach for the retrieval of multi-modality medical images.
PhD thesis, 2013

Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data.
J. Digit. Imaging, 2013

A patient-centric distribution architecture for medical image sharing.
Health Inf. Sci. Syst., 2013

Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images.
Int. J. Comput. Assist. Radiol. Surg., 2013

Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A web-based medical multimedia visualisation interface for personal health records.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Graph-based retrieval of PET-CT images using vector space embedding.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012
A Graph-based approach to the retrieval of volumetric PET-CT lung images.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images.
Proceedings of CBMS 2012, 2012

2011
A web-based image viewer for multiple PET-CT follow-up studies.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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