A web-based image viewer for multiple PET-CT follow-up studies. - Daiki Haraguchi; Jinman Kim; Ashnil Kumar; Liviu Constantinescu; Lingfeng Wen; David Dagan Feng (EMBC, 2011)

Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images. - Ashnil Kumar; Jinman Kim; Dagan Feng 001; Michael J. Fulham (CBMS, 2012)

A Graph-based approach to the retrieval of volumetric PET-CT lung images. - Ashnil Kumar; Jinman Kim; Lingfeng Wen; Dagan Feng 001 (EMBC, 2012)

Graph-based retrieval of PET-CT images using vector space embedding. - Ashnil Kumar; Jinman Kim; Dagan Feng 001; Michael J. Fulham (CBMS, 2013)

A web-based medical multimedia visualisation interface for personal health records. - Michael de Ridder; Liviu Constantinescu; Lei Bi 001; Younhyun Jung; Ashnil Kumar; Jinman Kim; David Dagan Feng; Michael J. Fulham (CBMS, 2013)

Cellular automata and anisotropic diffusion filter based interactive tumor segmentation for positron emission tomography. - Lei Bi 001; Jinman Kim; Lingfeng Wen; Ashnil Kumar; Michael J. Fulham; David Dagan Feng (EMBC, 2013)

Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images. - Ashnil Kumar; Jinman Kim; Lei Bi 001; Michael J. Fulham; Dagan Feng 001 (Int. J. Comput. Assist. Radiol. Surg., 2013)

A patient-centric distribution architecture for medical image sharing. - Liviu Constantinescu; Jinman Kim; Ashnil Kumar; Daiki Haraguchi; Lingfeng Wen; Dagan Feng 001 (Health Inf. Sci. Syst., 2013)

Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data. - Ashnil Kumar; Jinman Kim; Weidong Cai 001; Michael J. Fulham; Dagan Feng 001 (J. Digit. Imaging, 2013)

A graph-based approach for the retrieval of multi-modality medical images. - Ashnil Kumar (2013)

Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014. - Ashnil Kumar; Shane Dyer; Changyang Li; Philip Heng Wai Leong; Jinman Kim (CLEF (Working Notes), 2014)

Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images. - Ashnil Kumar; Jinman Kim; Michael J. Fulham; David Dagan Feng (ED/GViP@Diagrams, 2014)

Efficient PET-CT image retrieval using graphs embedded into a vector space. - Ashnil Kumar; Jinman Kim; Michael J. Fulham; Dagan Feng 001 (EMBC, 2014)

A graph-based approach for the retrieval of multi-modality medical images. - Ashnil Kumar; Jinman Kim; Lingfeng Wen; Michael J. Fulham; Dagan Feng 001 (Medical Image Anal., 2014)

Convolutional Neural Networks for Medical Clustering. - David Lyndon; Ashnil Kumar; Jinman Kim; Philip Heng Wai Leong; Dagan Feng 001 (CLEF (Working Notes), 2015)

Convolutional Neural Networks for Subfigure Classification. - David Lyndon; Ashnil Kumar; Jinman Kim; Philip Heng Wai Leong; Dagan Feng 001 (CLEF (Working Notes), 2015)

A Visual Analytics Approach Using the Exploration of Multidimensional Feature Spaces for Content-Based Medical Image Retrieval. - Ashnil Kumar; Falk Nette; Karsten Klein 001; Michael J. Fulham; Jinman Kim (IEEE J. Biomed. Health Informatics, 2015)

An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling. - Younhyun Jung; Jinman Kim; Ashnil Kumar; Michael J. Fulham; David Feng 003 (CGI (Short Papers), 2016)

Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network. - Ashnil Kumar; David Lyndon; Jinman Kim; David Feng 003 (CLEF (Working Notes), 2016)

X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. - Euijoon Ahn; Ashnil Kumar; Jinman Kim; ChangYang Li; Dagan Feng 001; Michael J. Fulham (ISBI, 2016)

Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks. - Ashnil Kumar; Pradeeba Sridar; Ann Quinton; Ramarathnam Krishna Kumar; Dagan Feng 001; Ralph Nanan; Jinman Kim (ISBI, 2016)

Transfer learning of a convolutional neural network for HEp-2 cell image classification. - Ha Tran Hong Phan; Ashnil Kumar; Jinman Kim; Dagan Feng 001 (ISBI, 2016)

Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram. - Younhyun Jung; Jinman Kim; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Comput. Medical Imaging Graph., 2016)

Adapting content-based image retrieval techniques for the semantic annotation of medical images. - Ashnil Kumar; Shane Dyer; Jinman Kim; Changyang Li; Philip Heng Wai Leong; Michael J. Fulham; Dagan Feng 001 (Comput. Medical Imaging Graph., 2016)

Neural Captioning for the ImageCLEF 2017 Medical Image Challenges. - David Lyndon; Ashnil Kumar; Jinman Kim (CLEF (Working Notes), 2017)

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). - Lei Bi 001; Jinman Kim; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. - Lei Bi 001; Jinman Kim; Ashnil Kumar; Lingfeng Wen; Dagan Feng 001; Michael J. Fulham (Comput. Medical Imaging Graph., 2017)

Automatic Liver Lesion Detection using Cascaded Deep Residual Networks. - Lei Bi 001; Jinman Kim; Ashnil Kumar; Dagan Feng 001 (CoRR, 2017)

An unsupervised long short-term memory neural network for event detection in cell videos. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (CoRR, 2017)

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (IEEE Trans. Biomed. Eng., 2017)

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. - Euijoon Ahn; Jinman Kim; Lei Bi 001; Ashnil Kumar; Changyang Li; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2017)

An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification. - Ashnil Kumar; Jinman Kim; David Lyndon; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2017)

Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets. - Pradeeba Sridar; Ashnil Kumar; Changyang Li; Joyce Woo; Ann Quinton; Ron Benzie; Michael J. Peek; Dagan Feng 001; R. Krishna Kumar; Ralph Nanan; Jinman Kim (IEEE J. Biomed. Health Informatics, 2017)

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation. - Lei Bi 001; Jinman Kim; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (Vis. Comput., 2017)

High-dimensional data visualization by interactive construction of low-dimensional parallel coordinate plots. - Takayuki Itoh; Ashnil Kumar; Karsten Klein 001; Jinman Kim (J. Vis. Lang. Comput., 2017)

Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning. - Tian Xia; Ashnil Kumar; Dagan Feng 001; Jinman Kim (EMBC, 2018)

Feature of Interest-Based Direct Volume Rendering Using Contextual Saliency-Driven Ray Profile Analysis. - Younhyun Jung; Jinman Kim; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Comput. Graph. Forum, 2018)

Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. - Euijoon Ahn; Jinman Kim; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001 (CoRR, 2018)

A deep learning technique for imputing missing healthcare data. - Son Phung; Ashnil Kumar; Jinman Kim (EMBC, 2019)

Unsupervised Deep Transfer Feature Learning for Medical Image Classification. - Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (ISBI, 2019)

Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. - Ha Tran Hong Phan; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (ISBI, 2019)

Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images. - Yuyu Guo 002; Lei Bi 001; Ashnil Kumar; Yue Gao 002; Ruiyan Zhang; Dagan Feng 001; Qian Wang 001; Jinman Kim (MICCAI (5), 2019)

A direct volume rendering visualization approach for serial PET-CT scans that preserves anatomical consistency. - Younhyun Jung; Jinman Kim; Lei Bi 001; Ashnil Kumar; David Dagan Feng; Michael J. Fulham (Int. J. Comput. Assist. Radiol. Surg., 2019)

Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. - Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham; Jinman Kim (CoRR, 2019)

Semi-supervised estimation of event temporal length for cell event detection. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (CoRR, 2019)

Convolutional sparse kernel network for unsupervised medical image analysis. - Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (Medical Image Anal., 2019)

Step-wise integration of deep class-specific learning for dermoscopic image segmentation. - Lei Bi 001; Jinman Kim; Euijoon Ahn; Ashnil Kumar; Dagan Feng 001; Michael J. Fulham (Pattern Recognit., 2019)

Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns. - Ha Tran Hong Phan; Ashnil Kumar; David Feng 003; Michael J. Fulham; Jinman Kim (IEEE Trans. Medical Imaging, 2019)

Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. - Euijoon Ahn; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (IEEE Trans. Medical Imaging, 2020)

Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer. - Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (IEEE Trans. Medical Imaging, 2020)

Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (CoRR, 2021)

Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning. - Yige Peng; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Dagan Feng 001; Jinman Kim (CoRR, 2021)

Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation. - Kai-Chieh Liang; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (CoRR, 2021)

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (IEEE J. Biomed. Health Informatics, 2021)

Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review. - Joyce Zhanzi Wang; Jonathon Lillia; Ashnil Kumar; Paula Bray; Jinman Kim; Joshua Burns; Tegan L. Cheng (BMC Bioinform., 2022)

An attention-enhanced cross-task network to analyse lung nodule attributes in CT images. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (Pattern Recognit., 2022)

Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images. - Xiaohang Fu; Lei Bi 001; Ashnil Kumar; Michael J. Fulham; Jinman Kim (IEEE Trans. Medical Imaging, 2022)