MO4.L4.3
A NOISE-TO-NOISE TRAINING APPROACH FOR ROBUST MOTION-COMPENSATED PROCESSING IN CARDIAC-GATED IMAGES
Xirang Zhang, Yongyi Yang, Jovan G. Brankov, Illinois Institute of Technology, United States; Michael A. King, University of Massachusetts Medical School, United States
Session:
MO4.L4: Biomedical Signal and Image Processing 2 Lecture
Track:
[BI] Biomedical Signal and Image Processing
Location:
Dena'ina: Kahtnu 2
Presentation Time:
Mon, 15 Sep, 17:00 - 17:15 Anchorage Time (UTC -8)
Session Chair:
Anderson Rocha, University of Campinas
Session MO4.L4
MO4.L4.1: EFFICIENT ATLAS GENERATION FOR MEDICAL IMAGING VIA GROUPWISE LATENT DIFFUSION MODELS
Ziyi He, Albert Chung, the Hong Kong University of Science and Technology, China
MO4.L4.2: CONTEXTLOSS: CONTEXT INFORMATION FOR TOPOLOGY-PRESERVING SEGMENTATION
Benedict Schacht, University of Hamburg, Germany; Imke Greving, Helmholtz-Zentrum Hereon, Germany; Simone Frintrop, University of Hamburg, Germany; Berit Zeller-Plumhoff, University of Rostock, Germany; Christian Wilms, University of Hamburg, Germany
MO4.L4.3: A NOISE-TO-NOISE TRAINING APPROACH FOR ROBUST MOTION-COMPENSATED PROCESSING IN CARDIAC-GATED IMAGES
Xirang Zhang, Yongyi Yang, Jovan G. Brankov, Illinois Institute of Technology, United States; Michael A. King, University of Massachusetts Medical School, United States
MO4.L4.4: IMPROVED UNET++ BASED ON KOLMOGOROV-ARNOLD CONVOLUTIONS
Ahmed AL-Qurri, Mohamed Almekkawy, Penn State University, United States
MO4.L4.5: Enhancing Medical Vision-Language Models with Rich Textual Descriptions and Multiple Alignments for Chest X-Ray Diagnosis
Youssef Ibrahim, Anabia Sohail, Sajid Javed, Hasan AlMarzouqi, Khalifa University, United Arab Emirates; Mohamed Deriche, Ajman University, United Arab Emirates; Naoufel Werghi, Khalifa University, United Arab Emirates
MO4.L4.6: MEDKI: KNOWLEDGE DUAL INJECTIONS FOR MEDICAL VISUAL QUESTION ANSWERING
Hongyi Ren, Weiran Chen, Chunping Liu, Yi Ji, Ying Li, Soochow University, China
Contacts