Ashnil Kumar

ORCID

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 49

Top Venues

CoRR

IEEE J. Biomed. Health Informatics

CLEF (Working Notes)

ISBI

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. IEEE Trans. Medical Imaging 41 (11) (2022)
Joyce Zhanzi Wang, Jonathon Lillia, Ashnil Kumar, Paula Bray, Jinman Kim, Joshua Burns, Tegan L. Cheng
Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review. BMC Bioinform. 23 (1) (2022)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. Pattern Recognit. 126 (2022)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. CoRR (2021)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT. CoRR (2021)
Yige Peng, Lei Bi, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. CoRR (2021)
Kai-Chieh Liang, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation. CoRR (2021)
Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer. IEEE Trans. Medical Imaging 39 (1) (2020)
Xiaohang Fu, Lei Bi, Ashnil Kumar, Michael J. Fulham, Jinman Kim
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. CoRR (2020)
Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. IEEE Trans. Medical Imaging 39 (7) (2020)
Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. CoRR (2019)
Ha Tran Hong Phan, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. ISBI (2019)
Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. ISBI (2019)
Younhyun Jung, Jinman Kim, Lei Bi, Ashnil Kumar, David Dagan Feng, Michael J. Fulham
A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency. Int. J. Comput. Assist. Radiol. Surg. 14 (5) (2019)
Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim
Semi-supervised estimation of event temporal length for cell event detection. CoRR (2019)
Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Anal. 56 (2019)
Son Phung, Ashnil Kumar, Jinman Kim
A deep learning technique for imputing missing healthcare data. EMBC (2019)
Yuyu Guo, Lei Bi, Ashnil Kumar, Yue Gao, Ruiyan Zhang, Dagan Feng, Qian Wang, Jinman Kim
Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images. MICCAI (5) (2019)
Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. CoRR (2019)
Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns. IEEE Trans. Medical Imaging 38 (6) (2019)
Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham
Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognit. 85 (2019)
Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer. CoRR (2018)
Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham
Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis. Comput. Graph. Forum 37 (6) (2018)
Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. CoRR (2018)
Tian Xia, Ashnil Kumar, Dagan Feng, Jinman Kim
Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning. EMBC (2018)
Ha Tran Hong Phan, Ashnil Kumar, David Feng, Michael J. Fulham, Jinman Kim
An unsupervised long short-term memory neural network for event detection in cell videos. CoRR (2017)
David Lyndon, Ashnil Kumar, Jinman Kim
Neural Captioning for the ImageCLEF 2017 Medical Image Challenges. CLEF (Working Notes) (2017)
Ashnil Kumar, Jinman Kim, David Lyndon, Michael J. Fulham, David Dagan Feng
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Pradeeba Sridar, Ashnil Kumar, Changyang Li, Joyce Woo, Ann Quinton, Ron Benzie, Michael J. Peek, Dagan Feng, R. Krishna Kumar, Ralph Nanan, Jinman Kim
Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets. IEEE J. Biomed. Health Informatics 21 (4) (2017)
Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). CMMI/RAMBO/SWITCH@MICCAI (2017)
Lei Bi, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation. Vis. Comput. 33 (6-8) (2017)
Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks. CoRR (2017)
Takayuki Itoh, Ashnil Kumar, Karsten Klein, Jinman Kim
High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots. J. Vis. Lang. Comput. 43 (2017)
Lei Bi, Jinman Kim, Ashnil Kumar, Lingfeng Wen, Dagan Feng, Michael J. Fulham
Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. Comput. Medical Imaging Graph. 60 (2017)
Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael J. Fulham, David Dagan Feng
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE J. Biomed. Health Informatics 21 (6) (2017)
Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. IEEE Trans. Biomed. Eng. 64 (9) (2017)
Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). CoRR (2017)
Ha Tran Hong Phan, Ashnil Kumar, Jinman Kim, Dagan Feng
Transfer learning of a convolutional neural network for HEp-2 cell image classification. ISBI (2016)
Ashnil Kumar, Shane Dyer, Jinman Kim, Changyang Li, Philip Heng Wai Leong, Michael J. Fulham, Dagan Feng
Adapting content-based image retrieval techniques for the semantic annotation of medical images. Comput. Medical Imaging Graph. 49 (2016)
Ashnil Kumar, David Lyndon, Jinman Kim, David Feng
Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network. CLEF (Working Notes) (2016)
Takayuki Itoh, Ashnil Kumar, Karsten Klein, Jinman Kim
High-Dimensional Data Visualization by Interactive Construction of Low-Dimensional Parallel Coordinate Plots. CoRR (2016)
Euijoon Ahn, Ashnil Kumar, Jinman Kim, ChangYang Li, Dagan Feng, Michael J. Fulham
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. ISBI (2016)
Younhyun Jung, Jinman Kim, Ashnil Kumar, Michael J. Fulham, David Feng
An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling. CGI (Short Papers) (2016)
Younhyun Jung, Jinman Kim, Ashnil Kumar, David Dagan Feng, Michael J. Fulham
Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram. Comput. Medical Imaging Graph. 51 (2016)
Ashnil Kumar, Pradeeba Sridar, Ann Quinton, Ramarathnam Krishna Kumar, Dagan Feng, Ralph Nanan, Jinman Kim
Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks. ISBI (2016)
David Lyndon, Ashnil Kumar, Jinman Kim, Philip Heng Wai Leong, Dagan Feng
Convolutional Neural Networks for Subfigure Classification. CLEF (Working Notes) (2015)
Ashnil Kumar, Falk Nette, Karsten Klein, Michael J. Fulham, Jinman Kim
A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval. IEEE J. Biomed. Health Informatics 19 (5) (2015)
David Lyndon, Ashnil Kumar, Jinman Kim, Philip Heng Wai Leong, Dagan Feng
Convolutional Neural Networks for Medical Clustering. CLEF (Working Notes) (2015)
Ashnil Kumar, Jinman Kim, Lingfeng Wen, Michael J. Fulham, Dagan Feng
A graph-based approach for the retrieval of multi-modality medical images. Medical Image Anal. 18 (2) (2014)
Ashnil Kumar, Jinman Kim, Michael J. Fulham, David Dagan Feng
Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images. ED/GViP@Diagrams (2014)
Ashnil Kumar, Jinman Kim, Michael J. Fulham, Dagan Feng
Efficient PET-CT image retrieval using graphs embedded into a vector space. EMBC (2014)
Ashnil Kumar, Shane Dyer, Changyang Li, Philip Heng Wai Leong, Jinman Kim
Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014. CLEF (Working Notes) (2014)
Michael de Ridder, Liviu Constantinescu, Lei Bi, Younhyun Jung, Ashnil Kumar, Jinman Kim, David Dagan Feng, Michael J. Fulham
A web-based medical multimedia visualisation interface for personal health records. CBMS (2013)
Ashnil Kumar, Jinman Kim, Weidong Cai, Michael J. Fulham, Dagan Feng
Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data. J. Digit. Imaging 26 (6) (2013)
Liviu Constantinescu, Jinman Kim, Ashnil Kumar, Daiki Haraguchi, Lingfeng Wen, Dagan Feng
A patient-centric distribution architecture for medical image sharing. Health Inf. Sci. Syst. 1 (1) (2013)
Lei Bi, Jinman Kim, Lingfeng Wen, Ashnil Kumar, Michael J. Fulham, David Dagan Feng
Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography. EMBC (2013)
Ashnil Kumar, Jinman Kim, Lei Bi, Michael J. Fulham, Dagan Feng
Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images. Int. J. Comput. Assist. Radiol. Surg. 8 (6) (2013)
Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham
Graph-based retrieval of PET-CT images using vector space embedding. CBMS (2013)
Ashnil Kumar, Jinman Kim, Lingfeng Wen, Dagan Feng
A Graph-based approach to the retrieval of volumetric PET-CT lung images. EMBC (2012)
Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham
Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images. CBMS (2012)
Daiki Haraguchi, Jinman Kim, Ashnil Kumar, Liviu Constantinescu, Lingfeng Wen, David Dagan Feng
A web-based image viewer for multiple PET-CT follow-up studies. EMBC (2011)

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Publication Activity (10 Years)

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Ashnil Kumar