| 2025 | DICTA | mmDFC: Multi-Modality Dynamic Fusion and Modal-Decoupled Alternating Optimization for Retinal Vessel Occlusion Prognosis. | Xinyu Huo, Yige Peng, Yupeng Xu, Jinman Kim, Suqin Yu, Lei Bi |
| 2025 | DICTA | MedGemma-Critic: Fine-Tuning Medical Language Models for Domain-Specialised Text Evaluation. | Sirui Liu, Jinman Kim |
| 2025 | DICTA | MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs. | Pengyu Wang, Shuchang Ye, Usman Naseem, Jinman Kim |
| 2025 | ECAI | Enhancing Zero-Shot Learning of Pathology Vision-Language Foundation Models in Tumour Malignancy Recognition. | Xiao Wang, Usman Naseem, Jinman Kim |
| 2025 | ICCV | ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. | Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao |
| 2025 | ICCV | Alleviating Textual Reliance in Medical Language-Guided Segmentation via Prototype-Driven Semantic Approximation. | Shuchang Ye, Usman Naseem, Mingyuan Meng, Jinman Kim |
| 2025 | RANLP | Strategies for Efficient Retrieval-augmented Generation in Clinical Domains with RAPTOR: A Benchmarking Study. | Xumou Zhang, Qixuan Hu, Jinman Kim, Adam G. Dunn |
| 2024 | CGI | Semi-Mamba: Improving Medical Image Segmentation via Semi-Automatic Mamba Network. | Lei Bi, Yige Peng, David Dagan Feng, Jinman Kim |
| 2024 | CGI | Mixed Reality Hologram Slicer (mxdR-HS): A Markerless Tangible User Interface for Interactive Holographic Medical Volume Visualization. | Hoijoon Jung, Younhyun Jung, Michael J. Fulham, Jinman Kim |
| 2024 | CVPR | Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. | Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim |
| 2024 | DICTA | A Reverse Method of Data Augmentation for High Quality PET Image Synthesis. | Boyuan Tan, Yuxin Xue, Lei Bi, Jinman Kim |
| 2024 | DICTA | Multi-Phase and Hierarchical Unsupervised Learning Framework for Glioblastoma Sub-Region Segmentation in MRI Sequences. | Yue Xia, Yuan Yuan, Euijoon Ahn, Jinman Kim |
| 2024 | ICIS | Patient Adaptation Processes in Remote Monitoring Environments: A Computational Analysis. | Na Liu, Julian Prester, Jinman Kim |
| 2024 | MICCAI | 3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. | Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim |
| 2024 | MICCAI | Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. | Shuchang Ye, Mingyuan Meng, Mingjian Li, David Dagan Feng, Jinman Kim |
| 2024 | WSDM | A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. | Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
| 2023 | CGI | Challenges and Constraints in Deformation-Based Medical Mesh Representation. | Ge Jin, Younhyun Jung, Jinman Kim |
| 2023 | DICTA | Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. | Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim |
| 2023 | MICCAI | Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. | Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim |
| 2023 | MICCAI | Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. | Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim |
| 2023 | MICCAI | Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. | Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim |
| 2023 | WWW | Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. | Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
| 2023 | WSDM | A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. | Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
| 2022 | AAAI | Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. | Hao Wang, Euijoon Ahn, Jinman Kim |
| 2022 | MICCAI | Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. | Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim |
| 2022 | MICCAI | Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. | Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim |
| 2022 | WWW | Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. | Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi |
| 2022 | WWW | Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. | Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
| 2022 | VR | Understanding the Capabilities of the HoloLens 1 and 2 in a Mixed Reality Environment for Direct Volume Rendering with a Ray-casting Algorithm. | Hoijoon Jung, Younhyun Jung, Jinman Kim |
| 2021 | CGI | Dynamic Shadow Synthesis Using Silhouette Edge Optimization. | Jihong Wang, Zhen Li, Saba Ghazanfar Ali, Bin Sheng, Ping Li, Xiaoyu Chi, Jinman Kim, Lijuan Mao |
| 2021 | CGI | A Classification Network for Ocular Diseases Based on Structure Feature and Visual Attention. | Yang Wen, Yupeng Xu, Kun Liu, Bin Sheng, Lei Bi, Jinman Kim, Xiangui He, Xun Xu |
| 2021 | CGI | Multi-Stream Fusion Network for Multi-Distortion Image Super-Resolution. | Yang Wen, Yupeng Xu, Bin Sheng, Ping Li, Lei Bi, Jinman Kim, Xiangui He, Xun Xu |
| 2021 | IJCNN | Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. | Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn |
| 2021 | IJCNN | BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. | Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim |
| 2021 | MICCAI | A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. | Euijoon Ahn, Dagan Feng, Jinman Kim |
| 2021 | MICCAI | Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. | Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim |
| 2020 | CGI | Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality. | Ping Lu, Fang Zhu, Ping Li, Jinman Kim, Bin Sheng, Lijuan Mao |
| 2020 | CGI | GHand: A Graph Convolution Network for 3D Hand Pose Estimation. | Pengsheng Wang, Guangtao Xue, Ping Li, Jinman Kim, Bin Sheng, Lijuan Mao |
| 2020 | CGI | Preserving Temporal Consistency in Videos Through Adaptive SLIC. | Han Zhang, Riaz Ali, Bin Sheng, Ping Li, Jinman Kim, Jihong Wang |
| 2020 | CVPR | A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. | Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim |
| 2020 | ICARCV | Unsupervised Positron Emission Tomography Tumor Segmentation via GAN based Adversarial Auto-Encoder. | Xinheng Wu, Lei Bi, Michael J. Fulham, Jinman Kim |
| 2020 | MICCAI | Improving PET-CT Image Segmentation via Deep Multi-modality Data Augmentation. | Kaiyi Cao, Lei Bi, Dagan Feng, Jinman Kim |
| 2020 | MICCAI | Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network. | Xiaoshuang Li, Lei Bi, Jinman Kim, Tingyao Li, Peng Li, Ye Tian, Bin Sheng, Dagan Feng |
| 2020 | MICCAI | Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search. | Yige Peng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim |
| 2019 | CGI | Deep Intrinsic Image Decomposition Using Joint Parallel Learning. | Yuan Yuan, Bin Sheng, Ping Li, Lei Bi, Jinman Kim, Enhua Wu |
| 2019 | INDIN | Automatic Computer Aided System for Lung Cancer in Chest CTs Using MD-RFCN Combined with Tri-Level Region Proposal Network. | Anum Masood, Bin Sheng, Ping Li, Po Yang, Jinman Kim |
| 2019 | MICCAI | Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images. | Yuyu Guo, Lei Bi, Ashnil Kumar, Yue Gao, Ruiyan Zhang, Dagan Feng, Qian Wang, Jinman Kim |
| 2018 | CGI | Voxelized Facial Reconstruction Using Deep Neural Network. | Xiaoshuang Li, Bin Sheng, Ping Li, Jinman Kim, David Dagan Feng |
| 2018 | ICARCV | Prior Knowledge Driven Energy for Saliency Detection. | Ke Yan, Chaojie Zheng, Qiu Huang, Jinman Kim, Dagan Feng, Xiuying Wang |
| 2017 | CGI | Temporaltracks: visual analytics for exploration of 4D fMRI time-series coactivation. | Michael de Ridder, Karsten Klein, Jinman Kim |
| 2017 | MICCAI | Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs). | Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael J. Fulham |
| 2016 | CGI | Multi-Modal Image Processing and Visualization: Application to PET-CT. | Younhyun Jung, Jinman Kim |
| 2016 | CGI | An intuitive Sketch-based Transfer Function Design via Contextual and Regional Labelling. | Younhyun Jung, Jinman Kim, Ashnil Kumar, Michael J. Fulham, David Feng |
| 2016 | ICIP | Adaptive background search and foreground estimation for saliency detection via comprehensive autoencoder. | Ke Yan, Changyang Li, Xiuying Wang, Ang Li, Yuchen Yuan, Jinman Kim, Dagan Feng |
| 2015 | DICTA | A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image. | Robin Huang, Lei Bi, ChangYang Li, Younhyun Jung, Jinman Kim, Michael J. Fulham, David Dagan Feng |
| 2014 | DIAGRAMS | Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images. | Ashnil Kumar, Jinman Kim, Michael J. Fulham, David Dagan Feng |
| 2014 | MICCAI | Multi-stage Thresholded Region Classification for Whole-Body PET-CT Lymphoma Studies. | Lei Bi, Jinman Kim, David Dagan Feng, Michael J. Fulham |
| 2013 | CBMS | Graph-based retrieval of PET-CT images using vector space embedding. | Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham |
| 2013 | CBMS | A web-based medical multimedia visualisation interface for personal health records. | Michael de Ridder, Liviu Constantinescu, Lei Bi, Younhyun Jung, Ashnil Kumar, Jinman Kim, David Dagan Feng, Michael J. Fulham |
| 2013 | LCN | Impact of wireless devices over real-time applications: An empirical test-bed analysis. | Mohib A. Shah, Jinman Kim, Dagan Feng |
| 2012 | CBMS | Graph-based retrieval of multi-modality medical images: A comparison of representations using simulated images. | Ashnil Kumar, Jinman Kim, Dagan Feng, Michael J. Fulham |
| 2012 | DICTA | Automatic Descending Aorta Segmentation in Whole-Body PET-CT Studies for PERCIST-Based Thresholding. | Lei Bi, Jinman Kim, Lingfeng Wen, David Dagan Feng |
| 2010 | MICCAI | Coupled Registration-Segmentation: Application to Femur Analysis with Intra-subject Multiple Levels of Detail MRI Data. | Jrme Schmid, Jinman Kim, Nadia Magnenat-Thalmann |