Ashnil Kumar

发表

Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification pdf

Euijoon Ahn, Ashnil Kumar, Dagan Feng, 2019, ArXiv.

A patient-centric distribution architecture for medical image sharing

Lingfeng Wen, Dagan Feng, Ashnil Kumar, 2013, Health Inf. Sci. Syst..

Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography

David Dagan Feng, Lingfeng Wen, Michael J. Fulham, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Content-based retrieval of PET-CT lung cancer data using spatial features

Stefan Eberl, Michael J. Fulham, Ashnil Kumar, 2009 .

Multi-Modal Content Based Image Retrieval in Healthcare: Current Applications and Future Challenges

David Dagan Feng, Tom Weidong Cai, Ashnil Kumar, 2011 .

Content-based large-scale medical image retrieval

David Dagan Feng, Yang Song, Weidong Cai, 2020 .

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation pdf

Ashnil Kumar, Michael Fulham, Lei Bi, 2020, IEEE Journal of Biomedical and Health Informatics.

A deep learning technique for imputing missing healthcare data

Ashnil Kumar, Jinman Kim, Son Phung, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks.

Ashnil Kumar, Jinman Kim, Pradeeba Sridar, 2019, Ultrasound in medicine & biology.

Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data

David Dagan Feng, Weidong Cai, Michael J. Fulham, 2013, Journal of Digital Imaging.

Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network

Ashnil Kumar, Jinman Kim, David Lyndon, 2016, CLEF.

Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns

Ashnil Kumar, Michael Fulham, Jinman Kim, 2019, IEEE Transactions on Medical Imaging.

An unsupervised long short-term memory neural network for event detection in cell videos pdf

Michael J. Fulham, Ashnil Kumar, Jinman Kim, 2017, ArXiv.

Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis

Euijoon Ahn, Ashnil Kumar, Dagan Feng, 2018, Medical image analysis.

High-Dimensional Data Visualization by Interactive Construction of Low-Dimensional Parallel Coordinate Plots pdf

Karsten Klein, Takayuki Itoh, Ashnil Kumar, 2016, J. Vis. Lang. Comput..

An Automated Framework for Large Scale Retrospective Analysis of Ultrasound Images

Ashnil Kumar, Jinman Kim, Pradeeba Sridar, 2019, IEEE Journal of Translational Engineering in Health and Medicine.

Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2014, ED/GViP@Diagrams.

A graph-based approach for the retrieval of multi-modality medical images

Ashnil Kumar, Ashnil Kumar, 2014, Medical Image Anal..

Neural Captioning for the ImageCLEF 2017 Medical Image Challenges

Ashnil Kumar, Jinman Kim, David Lyndon, 2017, CLEF.

Adapting content-based image retrieval techniques for the semantic annotation of medical images

Philip Heng Wai Leong, David Dagan Feng, ChangYang Li, 2016, Comput. Medical Imaging Graph..

Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014

Philip Heng Wai Leong, ChangYang Li, Ashnil Kumar, 2014, CLEF.

Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2016, Comput. Medical Imaging Graph..

A Graph-based approach to the retrieval of volumetric PET-CT lung images

David Dagan Feng, Lingfeng Wen, Ashnil Kumar, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks

Dagan Feng, Ashnil Kumar, Michael Fulham, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Convolutional Neural Networks for Subfigure Classification

Philip Heng Wai Leong, David Dagan Feng, Ashnil Kumar, 2015, CLEF.

Automatic Liver Lesion Detection using Cascaded Deep Residual Networks pdf

David Dagan Feng, Ashnil Kumar, Jinman Kim, 2017, ArXiv.

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2017, CMMI/RAMBO/SWITCH@MICCAI.

Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation

Euijoon Ahn, Ashnil Kumar, Dagan Feng, 2020, IEEE Transactions on Medical Imaging.

A direct volume rendering visualization approach for serial PET–CT scans that preserves anatomical consistency

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2019, International Journal of Computer Assisted Radiology and Surgery.

A web-based medical multimedia visualisation interface for personal health records

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

Transfer learning of a convolutional neural network for HEp-2 cell image classification

David Dagan Feng, Ashnil Kumar, Jinman Kim, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks

Dagan Feng, Euijoon Ahn, Ashnil Kumar, 2017, IEEE Transactions on Biomedical Engineering.

Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2018, IEEE Transactions on Medical Imaging.

Graph-based retrieval of PET-CT images using vector space embedding

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

Feature of Interest‐Based Direct Volume Rendering Using Contextual Saliency‐Driven Ray Profile Analysis

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2018, Comput. Graph. Forum.

Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks

David Dagan Feng, Ralph Nanan, Ashnil Kumar, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2013, International Journal of Computer Assisted Radiology and Surgery.

Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies

Lingfeng Wen, Dagan Feng, Ashnil Kumar, 2017, Comput. Medical Imaging Graph..

A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval

Karsten Klein, Michael J. Fulham, Ashnil Kumar, 2015, IEEE Journal of Biomedical and Health Informatics.

Convolutional Neural Networks for Subgure Classication

Philip H. W. Leong, Ashnil Kumar, Dagan Feng, 2015 .

Step-wise integration of deep class-specific learning for dermoscopic image segmentation

David Dagan Feng, Michael J. Fulham, Euijoon Ahn, 2019, Pattern Recognit..

A graph-based approach to the retrieval of dual-modality biomedical images using spatial relationships

Weidong Cai, Stefan Eberl, Ashnil Kumar, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets

Dagan Feng, Ashnil Kumar, Jinman Kim, 2017, IEEE Journal of Biomedical and Health Informatics.

X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid

David Dagan Feng, ChangYang Li, Michael J. Fulham, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Unsupervised Deep Transfer Feature Learning for Medical Image Classification

David Dagan Feng, Michael J. Fulham, Euijoon Ahn, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Semi-supervised estimation of event temporal length for cell event detection pdf

David Feng, Ashnil Kumar, Michael Fulham, 2019, ArXiv.

Interactive point-of-interest volume rendering visualization of PET-CT data

Stefan Eberl, Dagan Feng, Ashnil Kumar, 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling

Michael J. Fulham, Ashnil Kumar, Younhyun Jung, 2016, CGI.

Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning

David Dagan Feng, Tian Xia, Ashnil Kumar, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Convolutional Neural Networks for Medical Clustering

Philip Heng Wai Leong, David Dagan Feng, Ashnil Kumar, 2015, CLEF.

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images

David Dagan Feng, Euijoon Ahn, Ashnil Kumar, 2017, IEEE Journal of Biomedical and Health Informatics.

An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2017, IEEE Journal of Biomedical and Health Informatics.

Efficient PET-CT image retrieval using graphs embedded into a vector space

Dagan Feng, Ashnil Kumar, Michael Fulham, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A web-based image viewer for multiple PET-CT follow-up studies

David Dagan Feng, Lingfeng Wen, Ashnil Kumar, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation

David Dagan Feng, Michael J. Fulham, Ashnil Kumar, 2017, The Visual Computer.

Predicting distant metastases in soft-tissue sarcomas from PET-CT scans using constrained hierarchical multi-modality feature learning

Ashnil Kumar, Dagan Feng, Michael Fulham, 2021, Physics in medicine and biology.

Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT pdf

Ashnil Kumar, Michael Fulham, Lei Bi, 2021, ArXiv.

Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images pdf

Ashnil Kumar, Michael Fulham, Lei Bi, 2021, IEEE Transactions on Medical Imaging.

Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation pdf

Ashnil Kumar, Michael Fulham, Lei Bi, 2021, ArXiv.