BagciLab members have 23 RSNA abstract accepted!
Dr. Bagci and his lab members, collaborators have 23 abstracts accepted to RSNA 2026! This is a remarkable progress by an AI lab. Dr. Bagci will also deliver lectures/tutorials about genAI / LLM / VLM at RSNA 2026.
Here are the 23 abstracts brief list.
1-TAGS – FOUNDATIONAL TUMOR SEGMENTATION MODEL
Ertugrul Aktas et al
2-SELF-CORRECTING AI DETECTS 50% MORE SMALL PANCREATIC CANCERS THAN RADIOLOGISTS ON ROUTINE CONTRAST-ENHANCED CT ACROSS 147 HOSPITALS WORLDWIDE
Zongwei Zhou et al
3-SEEING MORE, DWELLING LESS: BIAS-FIELD CORRECTION SYSTEMATICALLY ALTERS RADIOLOGIST VISUAL SEARCH BEHAVIOR DURING MRI INTERPRETATION
Ertugrul Aktas et al
4-SCALEMAI: AN EXPECTATION-MAXIMIZATION ENGINE THAT CO-EVOLVES AI AND ANNOTATIONS TO BUILD A 47,000-SCAN PANCREATIC CT DATASET
Zongwei Zhou et al
5-REPORT-TRAINED SEGMENTATION AI DETECTS 18% MORE TUMORS THAN RADIOLOGISTS ACROSS 7 HARD-TO-SEE CANCERS ON ROUTINE CT
Zongwei Zhou et al
6-RADIOLOGY INSPIRED PEDIATRIC BRAIN TUMOR SEGMENTATION FOR RELIABLE MULTICENTER DEPLOYMENT
Elif Keles et al
7-PROGNOSTIC VALUE OF FUNCTIONAL LIVER IMAGING SCORE AND LIVER SURFACE NODULARITY ON GADOXETIC ACID-ENHANCED MRI IN CIRRHOSIS
Yavuz Bahadir Taktak et al
8-PERFORMANCE OF VISION LARGE LANGUAGE MODELS COMPARED WITH RADIOLOGY EXPERTS IN THE ASSESSMENT OF PEDIATRIC SPINE RADIOGRAPHS
Mucahit Ekici et al
9-MULTISCALE MRI RADIOMICS IMPROVES MOLECULARLY INFORMED RISK STRATIFICATION IN HIGH-GRADE GLIOMA
Yury Velichko et al
10-MULTIMODAL AI FOR EARLY PREDICTION OF ADVERSE CLINICAL OUTCOMES IN ACUTE PANCREATITIS
Ertugrul Aktas et al.
11-MRI-BASED AI MODEL FOR PREOPERATIVE STAGING OF LARYNGEAL SQUAMOUS CELL CARCINOMA
Fergan Bol et al.
12-MERLIN PLUS: FIRST PUBLIC CT TUMOR-MASK-REPORT DATASET FOR NINE CANCERS CURRENTLY LACKING SEGMENTATION ANNOTATIONS
Zongwei Zhou et al
13-LUMINA: A MULTI-VENDOR MAMMOGRAPHY BENCHMARK WITH ENERGY HARMONIZATION PROTOCOL
Ertugrul Aktas et al.
14-LOOKING BEYOND THE LESION: COMBINING TUMOR, PANCREAS, DUCT, AND CLINICAL BIOMARKERS DETECTS EARLY PANCREATIC CANCER ON ROUTINE CT ACROSS 147 CENTERS
Zongwei Zhou et al
15-LONG-TERM RISK OF ADVANCED PANCREAS NEOPLASIA IN PATIENTS WITH PANCREAS CYSTIC NEOPLASMS: RESULTS FROM A LARGE MULTI-CENTER COHORT STUDY
Andrea Bejar et al
16-LARGE LANGUAGE MODELS VERSUS RADIOLOGY EXPERTS IN ACR-BASED ABDOMINAL MRI PROTOCOL SELECTION
Mucahit Ekici et al
17-FEASIBILITY OF A STATE-OF-THE-ART AUTOMATED PANCREAS SEGMENTATION ALGORITHM IN HETEROGENEOUS MULTIMODAL IMAGING COHORTS
Eminenur Sen Tasci et al
18-DEEP LEARNING-BASED AUTOMATED PI-QUAL ASSESSMENT OF PROSTATE BIPARAMETRIC MRI
Enes Tasci et al
19-AUGMENTED AND VIRTUAL REALITY FOR PREPROCEDURAL PLANNING IN TRANSARTERIAL INTERVENTIONAL ONCOLOGY: A PILOT FEASIBILITY AND USABILITY STUDY
Saad Abu Zahra et al
20-ARTIFICIAL INTELLIGENCE FOR PROSTATE SEGMENTATION ON MRI IN GLOBAL POPULATIONS
Tiago Coelho et al
21-ARTIFICIAL INTELLIGENCE DETECTS PANCREATIC CANCER ON CT NEARLY ONE YEAR BEFORE CLINICAL DIAGNOSIS ACROSS THREE INTERNATIONAL CENTERS
Zongwei Zhou et al
22-AI TRANSFORMATION IN CIRRHOSIS MANAGEMENT
Enes Tasci et al.
23-AI FOR PREDICTING RECURRENCE AND LOCAL TUMOR PROGRESSION AFTER LOCOREGIONAL THERAPIES IN HEPATOCELLULAR CARCINOMA ON MRI
Mehmet Akpinar et al.
See you at RSNA 2026, December first week!