2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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MLR-APPL-BSIP: Machine learning for biomedical signal and image processing

Session Type: Poster
Time: Wednesday, September 22, 08:00 - 09:30
Location: Area C
Session Chair: Parvaneh Saeedi, Simon Fraser University
 
   MLR-APPL-BSIP.1: DISTRIBUTIONAL SHIFTS IN AUTOMATED DIABETIC RETINOPATHY SCREENING
         Jay Nandy; National University of Singapore
         Wynne Hsu; National University of Singapore
         Mong Li Lee; National University of Singapore
 
   MLR-APPL-BSIP.2: IMPROVING IMAGE QUALITY IN LOW-FIELD MRI WITH DEEP LEARNING
         Armando Garcia Hernandez; AIx-Marseille université
         Pierre Fau; Institut Paoli-Calmettes
         Stanislas Rapacchi; Aix-Marseille Université
         Julien Wojak; Aix-Marseille Université
         Hugues Mailleux; Institut Paoli-Calmettes
         Mohamed Benkreira; Institut Paoli-Calmettes
         Mouloud Adel; Aix-Marseille Université
 
   MLR-APPL-BSIP.3: EEG BASED VISUAL CLASSIFICATION WITH MULTI-FEATURE JOINT LEARNING
         Xin Ma; Tsinghua University
         Yiping Duan; Tsinghua University
         Shuzhan Hu; Tsinghua University
         Xiaoming Tao; Tsinghua University
         Ning Ge; Tsinghua University
 
   MLR-APPL-BSIP.4: DEPRESSION DETECTION BY COMBINING EYE MOVEMENT WITH IMAGE SEMANTICS
         Yuxin Lin; University of Science and Technology Beijing
         Huimin Ma; University of Science and Technology Beijing
         Zeyu Pan; Tsinghua University
         Rongquan Wang; University of Science and Technology Beijing
 
   MLR-APPL-BSIP.5: DISENTANGLED REPRESENTATION LEARNING FOR DEEP MR TO CT SYNTHESIS USING UNPAIRED DATA
         Runze Wang; Shanghai Jiao Tong University
         Guoyan Zheng; Shanghai Jiao Tong University
 
   MLR-APPL-BSIP.6: EFFORT-FREE AUTOMATED SKELETAL ABNORMALITY DETECTION OF RAT FETUSES ON WHOLE-BODY MICRO-CT SCANS
         Akihiro Fukuda; LPIXEL Inc.
         Changhee Han; LPIXEL Inc.
         Kazumi Hakamada; LPIXEL Inc.
 
   MLR-APPL-BSIP.7: EXPLAINING 3D CNNS FOR ALZHEIMER'S DISEASE CLASSIFICATION ON SMRI IMAGES WITH MULTIPLE ROIS
         Meghna P Ayyar; University of Bordeaux, Laboratoire Bordelais de Recherche en Informatique
         Jenny Benois-Pineau; University of Bordeaux, Laboratoire Bordelais de Recherche en Informatique
         Akka Zemmari; University of Bordeaux, Laboratoire Bordelais de Recherche en Informatique
         Gwenaelle Catheline; Centre national de la recherche scientifique, Institut de Neurosciences Cognitives et Intégratives d’Aquitaine
 
   MLR-APPL-BSIP.8: A DEEP LEARNING APPROACH FOR PREDICTION OF IVF IMPLANTATION OUTCOME FROM DAY 3 AND DAY 5 TIME-LAPSE HUMAN EMBRYO IMAGE SEQUENCES
         Mehryar Abbasi; Simon Fraser University
         Parvaneh Saeedi; Simon Fraser University
         Jason Au; Pacific Centre for Reproductive Medicine
         Jon Havelock; Pacific Centre for Reproductive Medicine
 
   MLR-APPL-BSIP.9: ADVANCED DEEP NETWORK WITH ATTENTION AND GENETIC-DRIVEN REINFORCEMENT LEARNING LAYER FOR AN EFFICIENT CANCER TREATMENT OUTCOME PREDICTION
         Francesco Rundo; STMicroelectronics
         Giuseppe Luigi Banna; Queen Alexandra Hospital
         Francesca Trenta; University of Catania
         Sebastiano Battiato; University of Catania
 
   MLR-APPL-BSIP.10: LIVER TUMOR DETECTION VIA A MULTI-SCALE INTERMEDIATE MULTI-MODAL FUSION NETWORK ON MRI IMAGES
         Chao Pan; Tongji University
         Peiyun Zhou; Zhongshan Hospital, Fudan University
         Jingru Tan; Tongji University
         Baoye Sun; Zhongshan Hospital, Fudan University
         Ruoyu Guan; Zhongshan Hospital, Fudan University
         Zhutao Wang; Zhongshan Hospital, Fudan University
         Ye Luo; Tongji University
         Jianwei Lu; Tongji University
 
   MLR-APPL-BSIP.11: ENHANCING ALZHEIMER'S DISEASE DIAGNOSIS VIA HIERARCHICAL 3D-FCN WITH MULTI-MODAL FEATURES
         Chao Liu; Peking University
         Xiaodong Yang; Peking University
         Dading Chong; Peking University
         Wenwu Wang; University of Surrey
         Liang Li; Peking University
 
   MLR-APPL-BSIP.12: TURNIP: TIME-SERIES U-NET WITH RECURRENCE FOR NIR IMAGING PPG
         Armand Comas-Massagué; Northeastern University
         Tim Marks; Mitsubishi Electric Research Laboratories (MERL)
         Hassan Mansour; Mitsubishi Electric Research Laboratories (MERL)
         Suhas Lohit; Mitsubishi Electric Research Laboratories (MERL)
         Yechi Ma; Princeton University
         Xiaoming Liu; Michigan State University