2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

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BIO-9: Medical Image Analysis

Session Type: Poster
Time: Wednesday, 9 June, 14:00 - 14:45
Location: Gather.Town
Virtual Session: View on Virtual Platform
Session Chair: Jayender Jagadeesan, Harvard University
 
 BIO-9.1: META ORDINAL WEIGHTING NET FOR IMPROVING LUNG NODULE CLASSIFICATION
         Yiming Lei; Fudan University
         Hongming Shan; Fudan University
         Junping Zhang; Fudan University
 
 BIO-9.2: DEEPNODULE: MULTI-TASK LEARNING OF SEGMENTATION BOOTSTRAP FOR PULMONARY NODULE DETECTION
         Jingqin Li; Chongqing University
         Kun Wang; Chongqing University
         Dan Yang; Chongqing University
         Xiaohong Zhang; Chongqing University
         Chen Liu; The First Affiliated Hospital of Army Medical University
 
 BIO-9.3: DENSE ATTENTION MODULE FOR ACCURATE PULMONARY NODULE DETECTION
         Jiannan Liu; Shanghai Jiao Tong University
         Jie Li; Shanghai Jiao Tong University
         Fanyong Xue; Shanghai Jiao Tong University
         Chentao Wu; Shanghai Jiao Tong University
 
 BIO-9.4: UNSUPERVISED MULTIMODAL IMAGE REGISTRATION WITH ADAPTATIVE GRADIENT GUIDANCE
         Zhe Xu; Tsinghua University
         Jiangpeng Yan; Tsinghua University
         Jie Luo; Harvard Medical School
         Xiu Li; Tsinghua University
         Jagadeesan Jayender; Harvard Medical School
 
 BIO-9.5: IMPROVING INTRAOPERATIVE LIVER REGISTRATION IN IMAGE-GUIDED SURGERY WITH LEARNING-BASED RECONSTRUCTION
         Meng Jia; York University
         Matthew Kyan; York University
 
 BIO-9.6: A NEW FRAMEWORK BASED ON TRANSFER LEARNING FOR CROSS-DATABASE PNEUMONIA DETECTION
         Xinxin Shan; East China Normal University
         Ying Wen; East China Normal University