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FR2.I: Medical Image Analysis

Session Type: Lecture
Time: Friday, 8 May, 11:45 - 13:45
Location: On-Demand
Session Chair: Olivier Salvado, CSIRO
 
   FR2.I.1: HUMAN-MACHINE COLLABORATION FOR MEDICAL IMAGE SEGMENTATION
         Mahdyar Ravanbakhsh; University of Genova
         Vadim Tschernezki; SAP ML Research Berlin
         Felix Last; SAP ML Research Berlin
         Tassilo Klein; SAP ML Research Berlin
         Kayhan Batmanghelich; University of Pittsburgh
         Volker Tresp; Ludwig Maximilian University
         Moin Nabi; SAP ML Research Berlin
 
   FR2.I.2: MIXUP MULTI-ATTENTION MULTI-TASKING MODEL FOR EARLY-STAGE LEUKEMIA IDENTIFICATION
         Puneet Mathur; University of Maryland, College Park
         Mehak Piplani; MIDAS Labs, IIIT Delhi
         Ramit Sawhney; MIDAS Labs, IIIT Delhi
         Amit Jindal; MIDAS Labs, IIIT Delhi
         Rajiv Ratn Shah; MIDAS Labs, IIIT Delhi
 
   FR2.I.3: CROSS-VIEW ATTENTION NETWORK FOR BREAST CANCER SCREENING FROM MULTI-VIEW MAMMOGRAMS
         Xuran Zhao; Zhejiang Gongshang University
         Luyang Yu; Zhejiang Gongshang University
         Xun Wang; Zhejiang Gongshang University
 
   FR2.I.4: UNET 3+: A FULL-SCALE CONNECTED UNET FOR MEDICAL IMAGE SEGMENTATION
         Huimin Huang; Zhejiang University
         Lanfen Lin; Zhejiang University
         Ruofeng Tong; Zhejiang University
         Hongjie Hu; Sir Run Run Shaw Hospital
         Qiaowei Zhang; Sir Run Run Shaw Hospital
         Yutaro Iwamoto; Ritsumeikan University
         Xianhua Han; Ritsumeikan University
         Yen-Wei Chen; Ritsumeikan University
         Jian Wu; Zhejiang University
 
   FR2.I.5: UNSUPERVISED CONTENT-PRESERVED ADAPTATION NETWORK FOR CLASSIFICATION OF PULMONARY TEXTURES FROM DIFFERENT CT SCANNERS
         Rui Xu; Dalian University of Technology
         Zhen Cong; Dalian University of Technology
         Xinchen Ye; Dalian University of Technology
         Shoji Kido; Osaka University
         Noriyuki Tomiyama; Osaka University
 
   FR2.I.6: CLASSIFY AND EXPLAIN: AN INTERPRETABLE CONVOLUTIONAL NEURAL NETWORK FOR LUNG CANCER DIAGNOSIS
         Yaowei Li; Harbin Institute of Technology
         Donghao Gu; Harbin Institute of Technology
         Zhaojing Wen; Harbin Institute of Technology
         Feng Jiang; Harbin Institute of Technology
         Shaohui Liu; Harbin Institute of Technology