News

Exciting News from Our Research Team!

Dec  01  2024 , Sun

We are thrilled to announce that our team has published five significant papers at the Radiological Society of North America (RSNA). These publications highlight breakthroughs in breast cancer treatment prediction, personalized therapy recommendations, and survival analysis.

Key Achievements:

UNCERTAINTY-AWARE COLLABORATIVE LEARNING BETWEEN AI AND RADIOLOGISTS FOR PREDICTING NEOADJUVANT THERAPY RESPONSE IN BREAST CANCER

GLOBAL-LOCAL LEARNING FOR EXPLAINABLE BREAST CANCER RISK PREDICTION FROM SCREENING MAMMOGRAMS

PERSONALIZED NEOADJUVANT THERAPY RECOMMENDATIONS IN BREAST CANCER FROM A MULTI-OMICS CAUSAL ARTIFICIAL INTELLIGENCE RESPONSE MODEL

END-TO-END PROGNOSTICATION AND SURVIVAL ANALYSIS OF BREAST CANCER BY COMBINED VISUAL-LANGUAGE DEEP LEARNING

PREDICTING FIVE-YEAR POST-TREATMENT BREAST CANCER RECURRENCE USING MULTI-TIME-POINT MAMMOGRAMS AND MEDICAL REPORTS

A MULTIMODAL DEEP LEARNING MODEL BASED ON PET/CT IMAGES AND ASSOCIATED REPORTS FOR BREAST CANCER SURVIVAL PREDICTION AND ANALYSIS