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ORCID17th ISBI 2020: Iowa City, IA, USA - Workshops
- 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), Iowa City, IA, USA, April 4, 2020. IEEE 2020, ISBN 978-1-7281-7401-3
- Amrit Kumar Jethi, Balamurali Murugesan, Keerthi Ram
, Mohanasankar Sivaprakasam:
Dual-Encoder-Unet For Fast Mri Reconstruction. 1-4 - Vladimir Groza, Artur Kuzin:
Pneumothorax Segmentation with Effective Conditioned Post-Processing in Chest X-Ray. 1-4 - Jun Shi, Ke Wen, Xiaoyu Hao, Xudong Xue, Hong An, Hongyan Zhang:
A Novel U-Like Network For The Segmentation Of Thoracic Organs. 1-4 - Huidong Xie, Hongming Shan, Ge Wang:
3D Few-View CT Image Reconstruction with Deep Learning. 1-4 - Akash Gupta, Abhishek Aich, Kevin Rodriguez, G. Venugopala Reddy, Amit K. Roy-Chowdhury:
Deep Quantized Representation For Enhanced Reconstruction. 1-4 - Natalia Sokolova, Mario Taschwer, Stephanie Sarny, Doris Putzgruber-Adamitsch, Klaus Schoeffmann:
Pixel-Based Iris and Pupil Segmentation in Cataract Surgery Videos Using Mask R-CNN. 1-4 - Hangfan Liu, Tanweer Rashid, Mohamad Habes:
Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling. 1-4 - Mohammad Eslami, Solale Tabarestani, Malek Adjouadi:
Joint Low Dose CT Denoising And Kidney Segmentation. 1-4 - Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang:
Deeply-Supervised Multi-Dose Prior Learning For Low-Dose Pet Imaging. 1-4 - Zongkai Lian, Haiqiong Yang, Fan Wu, Mingxin Li, Shancheng Jiang:
C-Algl Net: Pathological Images Generate Diagnostic Results. 1-4 - Hao Zhang, Haoqian Wang, Yongbing Zhang, Yanbin Peng:
DP2 Block: An Improved Multi-Scale Block for Pulmonary Nodule Detection. 1-4 - Mohamed Shaban:
Deep Convolutional Neural Network for Parkinson's Disease Based Handwriting Screening. 1-4 - Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang:
Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning. 1-4 - Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier:
Sparse Anett For Solving Inverse Problems With Deep Learning. 1-4 - Aparna Kanakatte, Jayavardhana Gubbi, Avik Ghose, Balamuralidhar Purushothaman:
A Decision Support System For Retinal Image Defect Detection. 1-4 - Neetha George, C. V. Jiji:
Oct Segmentation Using Convolutional Neural Network. 1-4 - Nikolay Tolstokulakov, Evgeniy N. Pavlovskiy, Bair Tuchinov, Evgeniya Amelina, Mihail Amelin, Andrey Letyagin, Sergey Golushko, Vladimir Groza:
Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation. 1-4 - Arman P. Kulkarni, Moo K. Chung, Barbara B. Bendlin, Vivek Prabhakaran:
Investigating Heritability Across Resting State Brain Networks Via Heat Kernel Smoothing on Persistence Diagrams. 1-4 - Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya:
Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. 1-4 - Liu Yang, Rudrasis Chakraborty:
A GMM Based Algorithm To Generate Point-Cloud And Its Application To Neuroimaging. 1-4 - Hanvit Kim, Dong Un Kang, Se Young Chun:
Preliminary Studies On Training And Fine-Tuning Deep Denoiser Neural Networks In Learned D-Amp For Undersampled Real Mr Measurements. 1-4 - Philipp Gräbel, Gregor Nickel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training. 1-4 - Anuj Srivastava, Xiaoyang Guo, Hamid Laga:
Advances in Geometrical Analysis of Topologically-Varying Shapes. 1-4 - Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
Csrgan: Medical Image Super-Resolution Using A Generative Adversarial Network. 1-4 - Tananun Songdechakraiwut, Moo K. Chung:
Dynamic Topological Data Analysis for Functional Brain Signals. 1-4 - Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Suzanne Bussod, Andreas Hauptmann, Simon R. Arridge, Philippe Douek, Françoise Peyrin:
Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach. 1-4 - Yuan Wang, Roozbeh Behroozmand, Lorelei Phillip Johnson, Leonardo Bonilha, Julius Fridriksson:
Topological Signal Processing in Neuroimaging Studies. 1-4 - Maribel Torres-Velázquez, Gyujoon Hwang, Cole John Cook, Bruce P. Hermann, Vivek Prabhakaran, Mary Elizabeth Meyerand, Alan B. McMillan:
Multi-Channel Deep Neural Network For Temporal Lobe Epilepsy Classification Using Multimodal Mri Data. 1-4 - Mona Zehni, Minh N. Do, Zhizhen Zhao:
Deepsharpen: Deep-Learning Based Sharpening Of 3D Reconstruction Map From Cryo-Electron Microscopy. 1-4 - Rafael L. Araújo, Daniela M. Ushizima, Romuere R. V. Silva:
Fusion of Color Bands Using Genetic Algorithm to Segment Melanoma. 1-4 - Sundaresh Ram, Stephen M. Humphries, David A. Lynch, Craig J. Galbán, Charles R. Hatt:
Lung Lobe Segmentation With Automated Quality Assurance Using Deep Convolutional Neural Networks. 1-4 - Thiago José Barbosa Lima, Daniela Ushizima, Antonio Oseas de Carvalho Filho, Flávio Henrique Duarte de Araújo:
Lung CT Screening With 3D Convolutional Neural Network Architectures. 1-4 - Hrishikesh Deshpande, Tim Harder, Axel Saalbach, Abhivyakti Sawarkar, Thomas Bülow:
Detection Of Foreign Objects In Chest Radiographs Using Deep Learning. 1-4
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