jinman kim

Professor

University of Sydney

Australia

Research Interests

Explore related searches

Professors in Australia Professors in Medical Imaging Medical Imaging professors in Australia

Contact this professor

ORCID

Google Scholar

About

Professor Jinman Kim is a faculty member at The University of Sydney, Australia. His research focuses on medical image analysis, including lesion segmentation, MRI artifact reduction, and multimodal imaging techniques. He has recently contributed to advancements in automated tooth extraction, noninvasive classification of skin lesions, and the application of mixed reality in surgical procedures.

jinman kim

Research Interests

Explore related searches

Contact this professor

About

Articles (26)

Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging

Integrated Analysis of Proteomic and Dermoscopy Imaging Data Improves Noninvasive Classification of Benign Nevi and Melanoma

TEANet: Automated tooth extraction and arrangement with tooth-level graph spatial transformation network

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation

Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling

AutoFuse: Automatic fusion networks for deformable medical image registration

Head-Mounted Displays in Context-Aware Systems for Open Surgery: A State-of-the-Art Review

Co-Learning Multimodality PET-CT Features via a Cascaded CNN-Transformer Network

Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation

PET Synthesis via Self-Supervised Adaptive Residual Estimation Generative Adversarial Network

Panoramic imaging errors in machine learning model development: a systematic review

Hybrid CNN-transformer network for interactive learning of challenging musculoskeletal images

SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks

RibMR – A Mixed Reality Visualization System for Rib Fracture Localization in Surgical Stabilization of Rib Fractures: Phantom, Preclinical, and Clinical Studies

A Review of Predictive and Contrastive Self-supervised Learning for Medical Images

Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images

Robust Identification of Figurative Language in Personal Health Mentions on Twitter

Vision-Language Transformer for Interpretable Pathology Visual Question Answering

Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables

A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging

K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering

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

Enhancing medical image registration via appearance adjustment networks

DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT

Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media

RHMD: A Real-World Dataset for Health Mention Classification on Reddit

Collaborators (10)

Matloob Khushi

Adeel Razi

Pablo Fernández Peñas

Ellis Patrick

Adam Dunn

Jean Yang

Euijoon Ahn

Jinman Kim

Tao Huang

kewei Chen

How do I reach out?

Meet Kite AI