{"id":19,"date":"2018-03-23T15:49:53","date_gmt":"2018-03-23T15:49:53","guid":{"rendered":"https:\/\/workshops.ap-lab.ca\/workshops-2\/?page_id=19"},"modified":"2021-09-27T11:05:27","modified_gmt":"2021-09-27T15:05:27","slug":"program","status":"publish","type":"page","link":"https:\/\/workshops.ap-lab.ca\/aecai2021\/program\/","title":{"rendered":"Program"},"content":{"rendered":"

Please note as well as the pre-recorded live videos we will have two live sessions. *All times in the schedule are given in the EST timezone.\u00a0<\/strong><\/p>\n

LIVE SESSION 1: Asia \/ Europe: 9 am \u2013 1 pm UTC || 5 am \u2013 9 am EST<\/strong><\/span><\/h6>\n

5:30 \u2013 5:45 WELCOME & OPENING REMARKS (Ziv Yaniv & Marta Kersten)<\/strong><\/p>\n

5:45 \u2013 6:30 SESSION 1.1: VIDEO-BASED IMAGE-GUIDANCE APPLICATIONS (Chairs: Ziv Yaniv & Qi Dou)<\/strong><\/p>\n

    \n
  1. Simultaneous estimation of projector and camera poses for multiple oneshot scan using pixel-wise correspondences estimated by U-Nets and GCN (Presented by Ryo Furukawa, Japan, Paper #5)<\/li>\n
  2. Spatially-variant Biases Considered Self-supervised Depth Estimation Based on Laparoscopic Videos (presented by Wenda Li, Japan, Paper #20)<\/li>\n
  3. Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation (Presented by Masahiro Oda, Japan, Paper #30)<\/li>\n
  4. Randomly Connected Neural Networks for Self-Supervised Monocular Depth Estimation (Presented by Samyakh Tukra, UK, Paper #24)<\/li>\n
  5. Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction (Presented by Peichao Li, UK, Paper #28)<\/li>\n
  6. Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction (Presented by Martin Huber, UK, Paper #27)<\/li>\n<\/ol>\n

    6:30 \u2013 6:40 BREAK<\/strong><\/p>\n

    6:40 \u2013 7:10 SESSION 1.2: SURGICAL APPLICATIONS (Chairs: Duygu Sarikaya & Qi Dou)<\/strong><\/p>\n

      \n
    1. Uncertainty Meets 3D-Spatial Feature in Colonoscopic Polyp-Size Determination (Presented by Hayato Itoh, Japan, Paper #9)<\/li>\n
    2. Anatomically Constrained Deformable 3D reconstruction of Intra-operative Uterus from Pre-operative MRI Data on Uterine Fibroid Treatment (Presented by Hee Guan Khor, Tsingua Univ., China, Paper #1)<\/li>\n
    3. Automatic Landmark Detection in Distal Femur from Surgical Video Footage (Presented by Daniel Filipe Cruz, Portugal, Paper #12)<\/li>\n
    4. A Methodology and Clinical Dataset with Ground-truth to Evaluate Registration Accuracy Quantitatively in Computer-assisted Laparoscopic Liver Resection (Presented by Navid Rabbani, France, Paper #31)<\/li>\n<\/ol>\n

      7:10 \u2013 7:20 BREAK<\/strong><\/p>\n

      7:20 \u2013 7:50 SESSION 1.3: TRACKING & SURGICAL TOOLS (Chairs: Elvis Chen & Simon Drouin)<\/strong><\/p>\n

        \n
      1. Magnetic Tracking using a Modular C++ Environment for Image-guided Interventions (Presented by Marco Cavaliere, Ireland, Paper # 35)<\/li>\n
      2. Deep Learning-based Tracked X-ray for Surgery Guidance (Presented by Kobe Bamps, Belgium, Paper # 21)<\/li>\n
      3. An Enhanced Marker Pattern that Achieves Improved Accuracy in Surgical Tool Tracking (Presented by Joao Cartucho, UK, Paper # 10)<\/li>\n
      4. Surgical Instrument Grounding for Robot-assisted Interventions (Presented by Cristina Gonzalez, Colombia, Paper #6)<\/li>\n<\/ol>\n

        7:50 – 8:00 BREAK<\/strong><\/p>\n

        8:00 – 9:00 KEYNOTE LECTURE: DR. DIAO (Introduced by Simon Drouin)<\/strong><\/span><\/h6>\n

        9:00 – 9:10 SESSION 1 WRAP-UP<\/strong><\/p>\n

        LIVE SESSION 2: Europe \/ Americas: 2 pm \u2013 6 pm UTC || 10 am \u2013 2 pm EST<\/span><\/strong><\/h6>\n

        10:00 \u2013 10:10 WELCOME BACK & OPENING REMARKS (Cristian Linte)<\/strong><\/p>\n

        10:10 \u2013 10:45 SESSION 2.1: AUGMENTED REALITY APPLICATIONS (Chairs: Marta Kersten-Oertel & Cristian Linte)<\/strong><\/p>\n

          \n
        1. Patient Positioning by Visualizing Surgical Robot Rotational Workspace in Augmented Reality (Presented by Marek Zelechowski, Switzerland, Paper # 29)<\/li>\n
        2. Augmenting the Training Space of an Epidural Needle Insertion Simulator with HoloLens (Presented by Daniel Lopes, Portugal, Paper # 37)<\/li>\n
        3. A Calibration-free Workflow for Image-based Mixed Reality Navigation of Total Shoulder Arthroplasty (Presented by Wenhao Gu, USA, Paper # 11)<\/li>\n
        4. \u201cDIGITS\u201d App – Smart Phone Augmented Reality for Hand Telerehabilitation (Presented by Hongdao (Davis) Dong, Canada, Paper # 25)<\/li>\n
        5. A Prototype 3D Modeling and Visualization Pipeline for Improved Decision-making in Breast Reconstruction Surgery (Presented by Sara Amini, Canada, Paper #39)<\/li>\n<\/ol>\n

          10:45 – 10:55 BREAK<\/strong><\/p>\n

          10:55 \u2013 11:25 SESSION 2.2: VIRTUAL REALITY APPLICATIONS (Chairs: Jonathan McLeod & Marta Kersten-Oertel)<\/strong><\/p>\n

            \n
          1. Computer-aided identification of stroke-associated motor impairments using a virtual reality augmented robotic system (Presented by Faranak Akbarifar, Canada, Paper # 34)<\/li>\n
          2. The Effect of Interactive Cues on the Perception of Angiographic Volumes in Virtual Reality (Presented by Andrey Titov, Canada, Paper # 38)<\/li>\n
          3. A novel prototype for virtual-reality-based deep brain stimulation trajectory planning using voodoo doll annotation and eye-tracking (Presented by Owen Hellum, Canada, Paper # 40)<\/li>\n
          4. Virtual Reality for Synergistic Surgical Training and Data Generation (Presented by Adnan Munawar, USA, Paper #3)<\/li>\n<\/ol>\n

            11:25 – 11:35 BREAK<\/strong><\/p>\n

            11:35 \u2013 12:10 SESSION 2.3: SURGICAL WORKFLOWS & RECOGNITION (Chairs: Duygu Sarikaya & Jonatan McLeod )<\/strong><\/p>\n

              \n
            1. Concept and basic framework prototype for a flexible and intervention-independent situation recognition system in the OR (Presented by Denise Junger, Germany, Paper #33)<\/li>\n
            2. Intra-Operative Situational Stress Contagion and Its Regulation in a Non-Simulated Environment: A Preliminary Study (Presented by Lauren R Kennedy-Metz, USA, Paper #8)<\/li>\n
            3. Using Machine Learning to Predict Perfusionists\u2019 Critical Decision-Making during Cardiac Surgery (Presented by Roger Daglius Dias, USA, Paper #36)<\/li>\n
            4. Towards Accurate Surgical Workflow Recognition with Convolutional Networks and Transformers (Presented by Bokai Zhang, USA, Paper #14)<\/li>\n
            5. Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-instance Learning (Presented by Evan Schwab, Paper #15)<\/li>\n<\/ol>\n

              12:10 \u2013 12:30 BREAK<\/strong><\/p>\n

              12:30 \u2013 1:30 KEYNOTE: DR. FER (Introduced by Duygu Sarikaya)<\/strong><\/span><\/h6>\n

              1:30 \u2013 1:40 BREAK<\/strong><\/p>\n

              1:40 \u2013 2:00 AWARDS & CLOSING REMARKS (Cristian Linte)<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

              Please note as well as the pre-recorded live videos we will have two live sessions. *All times in the schedule… <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-19","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/workshops.ap-lab.ca\/aecai2021\/wp-json\/wp\/v2\/pages\/19","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/workshops.ap-lab.ca\/aecai2021\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/workshops.ap-lab.ca\/aecai2021\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/workshops.ap-lab.ca\/aecai2021\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/workshops.ap-lab.ca\/aecai2021\/wp-json\/wp\/v2\/comments?post=19"}],"version-history":[{"count":49,"href":"https:\/\/workshops.ap-lab.ca\/aecai2021\/wp-json\/wp\/v2\/pages\/19\/revisions"}],"predecessor-version":[{"id":472,"href":"https:\/\/workshops.ap-lab.ca\/aecai2021\/wp-json\/wp\/v2\/pages\/19\/revisions\/472"}],"wp:attachment":[{"href":"https:\/\/workshops.ap-lab.ca\/aecai2021\/wp-json\/wp\/v2\/media?parent=19"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}