2021 IEEE International Conference on Image Processing
19-22 September 2021 • Anchorage, Alaska, USA
Imaging Without Borders
All times are in Alaska local time (AKDT/UTC−08:00)
SS-MIA: Special Session: Deep Learning and Precision Quantitative Imaging for Medical Image Analysis |
| Paper Presentations and Interactive Q&A Time: Wednesday, September 22, 14:30 - 16:00 |
| Session Chairs: Le Lu, PAII Inc. Bethesda, USA , Islem Rekik, Istanbul Technical University, Istanbul, Turkey , Ling Zhang, PAII Inc. Bethesda, USA and Adam Harrison, PAII Inc. Bethesda, USA |
| SS-MIA.1: DEEP CONTEXT-ENCODING NETWORK FOR RETINAL IMAGE CAPTIONING |
| Jia-Hong Huang; University of Amsterdam |
| Ting-Wei Wu; Georgia Institute of Technology |
| C.-H. Huck Yang; Georgia Institute of Technology |
| Marcel Worring; University of Amsterdam |
| SS-MIA.2: FEATURE FUSION ENSEMBLE ARCHITECTURE WITH ACTIVE LEARNING FOR MICROSCOPIC BLOOD SMEAR ANALYSIS |
| Jeevan Jamakayala; Indian Institute of Technology Tirupati |
| Rama Krishna Sai Gorthi; Indian Institute of Technology Tirupati |
| SS-MIA.3: EVOLVING DEEP ENSEMBLES FOR DETECTING COVID-19 IN CHEST X-RAYS |
| Piotr Bosowski; Silesian University of Technology |
| Joanna Bosowska; Medical University of Silesia |
| Jakub Nalepa; Silesian University of Technology |
| SS-MIA.4: A TEACHER-STUDENT LEARNING BASED ON COMPOSED GROUND-TRUTH IMAGES FOR ACCURATE CEPHALOMETRIC LANDMARK DETECTION |
| Yu Song; Ritsumeikan University |
| Xu Qiao; Shandong University |
| Yutaro Iwamoto; Ritsumeikan University |
| Yen-Wei Chen; Ritsumeikan University |
| SS-MIA.5: A NOVEL METHOD FOR SEGMENTATION OF BREAST MASSES BASED ON MAMMOGRAPHY IMAGES |
| Haichao Cao; Hangzhou Hikvision Digital Technology Company Limited |
| Shiliang Pu; Hangzhou Hikvision Digital Technology Company Limited |
| Wenming Tan; Hangzhou Hikvision Digital Technology Company Limited |
| SS-MIA.6: UNSUPERVISED MEDICAL IMAGE ALIGNMENT WITH CURRICULUM LEARNING |
| Mihail Burduja; University of Bucharest |
| Radu Tudor Ionescu; University of Bucharest |
| SS-MIA.7: SEPUNET: DEPTHWISE SEPARABLE CONVOLUTION INTEGRATED U-NET FOR MRI RECONSTRUCTION |
| Soheil Zabihi; Concordia University |
| Elahe Rahimian; Concordia University |
| Amir Asif; York University |
| Arash Mohammadi; Concordia University |
| SS-MIA.8: DEEP FEATURES FUSION WITH MUTUAL ATTENTION TRANSFORMER FOR SKIN LESION DIAGNOSIS |
| Li Zhou; University of Massachusetts Lowell |
| Yan Luo; University of Massachusetts Lowell |
| SS-MIA.9: EXPLAINABLE PREDICTION OF RENAL CELL CARCINOMA FROM CONTRAST-ENHANCED CT IMAGES USING DEEP CONVOLUTIONAL TRANSFER LEARNING AND THE SHAPLEY ADDITIVE EXPLANATIONS APPROACH |
| Fuchang Han; Central South University |
| Shenghui Liao; Central South University |
| Siming Yuan; Central South University |
| Renzhong Wu; Central South University |
| Yuqian Zhao; Central South University |
| Yu Xie; Central South University |
| SS-MIA.10: TOWARDS DEEP LEARNING-BASED SARCOPENIA SCREENING WITH BODY JOINT COMPOSITION ANALYSIS |
| Yung-Chih Chen; Chang-Gung Memorial Hospital |
| Jun-Wei Hsieh; National Yang Ming Chiao Tung University |
| Yao-Hong Yang; Chang-Gung Memorial Hospital |
| Chien-Hung Lee; Chang-Gung Memorial Hospital |
| Ping-Yang Chen; National Yang Ming Chiao Tung University |
| Pei-Yi Yu; National Taiwan Ocean University |
| Arpita Samanta Santa; National Taiwan Ocean University |