INT-RO: Intelligence in Radiation Oncology
  • Bio
  • About
  • Peoples
  • Publications
  • Repositories
  • Githubs
    • MoME
    • LLMSeg
    • DISTL
    • DeepCOVID
  • Repositories
  • Experience
  • Blog
    • Our paper Label-independent framework for objective evaluation of cosmetic outcome in breast cancer has been accepted for AI in Medicine!
    • Our paper End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding has been accepted for MEDIA!
    • Collaborative Work with Dr. Yujin Oh Accepted as Top 2.6% Spotlight Poster at ICML 2025!
    • Selected for 3-Year Research Grant (KRW 200M/Year) for Physician-Scientists!
    • SBRT for NSCLC: Comprehensive analysis of outcomes and recurrence from a single-center experience has been accepted for Oncology Letters!
    • Dummy run study of SABR for recurrence ovarian cancer (SABR-ROC) has been accepted for BMC cancer!
    • 🎉 My homepage has been open!
  • Peoples
  • Publications
    • Metastasis-Directed Radiotherapy for Oligometastatic Cervical Carcinoma: Identifying Potential Beneficiaries
    • Postoperative Conventional versus Hypofractionated Intensity-Modulated Radiation Therapy with Concurrent Chemotherapy in Cervical Cancer: A Prospective Multicenter Randomized Phase III Trial (POHIM_P3 Trial)
    • Susceptibility of Large Language Models to User-Driven Factors in Medical Queries
    • Validating Clinical Feasibility of MRCAT and Deep Learning-Based Synthetic CT Images for Cervical Cancer Patient
    • Improving Mortality Prediction after Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records
    • Comparison of Stereotactic Body Radiotherapy and Surgery for Stage I Lung Cancer: A Multidisciplinary Cohort Study Utilizing Propensity Score Overlap Weighting and AI-Based CT Imaging Analysis
    • Label-independent framework for objective evaluation of cosmetic outcome in breast cancer
    • End-to-End Breast Cancer Radiotherapy Planning via LMMs with Consistency Embedding
    • Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective
    • Stereotactic body radiotherapy for early-stage non-small cell lung cancer: Comprehensive analysis of outcomes and recurrence from a single-center experience
    • Radiotherapy Quality Assurance Program of Ongoing Clinical Trial Using Stereotactic Ablative Radiation Therapy for Recurrent Ovarian Cancer (SABR-ROC): A Dummy Run Study of a Prospective, Randomized, Multicenter Phase III Trial (KGOG 3064/KROG 2204)
    • SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
    • Reinforcing treatment and evaluation workflow of stereotactic ablative body radiotherapy for refractory ventricular tachycardia
    • Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation
    • Impact of the ASTRO 2024 Guideline on Partial Breast Irradiation Eligibility in Breast Cancer Patients (KROG 24-01)
    • Normal Brain-Sparing Radiotherapy versus Whole Brain Radiotherapy for Multiple Brain Metastasis from Non-Small Cell Lung Cancer
    • Mid-treatment MRI-based tumor response assessment for tumor recurrence and patient survival in locally advanced adenocarcinoma of the cervix: A retrospective multicenter study of KROG 23-03
    • Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation
    • LLM-driven multimodal target volume contouring in radiation oncology
    • Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings
    • MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer
    • A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion
    • Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models
    • Assessment of Eligibility and Utilization of Accelerated Partial Breast Irradiation in Korean Breast Cancer Patients (KROG 22-15)
    • Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology
    • Study protocol for prospective multi-institutional phase III trial of standard of care therapy with or without stereotactic ablative radiation therapy for recurrent ovarian cancer (SABR-ROC)
    • Deep Learning-Enabled Detection of Pneumoperitoneum in Supine and Erect Abdominal Radiography: Modeling Using Transfer Learning and Semi-Supervised Learning
    • Diagnosis of coronary layered plaque by deep learning
    • Enhanced Diagnosis of Plaque Erosion by Deep Learning in Patients With Acute Coronary Syndromes
    • Self-evolving Vision Transformer for Chest X-ray Diagnosis through Knowledge Distillation
    • Optical Coherence Tomography in Coronary Atherosclerosis Assessment and Intervention
    • Multi-task Vision Transformer Using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
    • Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis
    • Improved Oncologic Outcomes by Ablative Radiotherapy in Patients with Bone Metastasis from Hepatocellular Carcinoma
    • Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
    • Unsupervised Cone-Beam Artifact Removal Using CycleGAN and Spectral Blending for Adaptive Radiotherapy
    • Impact of Treatment-Related Lymphopenia on Immunotherapy for Advanced Non-Small Cell Lung Cancer
    • Skeletal Muscle Depletion Predicts the Prognosis of Patients With Hepatocellular Carcinoma Treated With Radiotherapy
    • Irradiation-Related Lymphopenia for Bone Metastasis from Hepatocellular Carcinoma
    • Acute Severe Lymphopenia by Radiotherapy is Associated with Reduced Overall Survival in Hepatocellular Carcinoma
    • Risk Group-Adapted Adjuvant Radiotherapy for WHO Grade I and II Skull Base Meningioma
    • Clinical Significance of Soluble Programmed Cell Death Ligand-1 (sPD-L1) in Hepatocellular Carcinoma Patients Treated with Radiotherapy
    • Compensatory Hypertrophy of the Liver After External Beam Radiotherapy for Primary Liver Cancer
    • Plasma Cell-Free DNA as a Predictive Marker after Radiotherapy for Hepatocellular Carcinoma
    • Survival and Functional Outcome after Treatment for Primary Base of Tongue Cancer: A Comparison of Definitive Chemoradiotherapy versus Surgery Followed by Adjuvant Radiotherapy
    • Treatment Outcome of Radiation Therapy and Concurrent Targeted Molecular Therapy in Spinal Metastasis from Renal Cell Carcinoma
    • Morphologic Change of Rectosigmoid Colon Using Belly Board and Distended Bladder Protocol

DISTL

Jul 4, 2022 · 1 min read
Go to Project Site

We present DISTL, a self-supervision and self-training framework that enhances chest x-ray diagnosis, outperforming fully supervised models in real-world settings.

Last updated on Oct 24, 2024
Self-Supervised Learning Knowledge Distillation Vision Transformer
Sangjoon Park
Authors
Sangjoon Park
Clinical Assistant Professor
← LLMSeg May 24, 2024
DeepCOVID Aug 1, 2019 →

© 2026 Sangjoon Park. This work is licensed under CC BY-NC-ND 4.0

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