Object-based affordances detection with Convolutional Neural Networks and dense Conditional Random Fields

Random Fields ◽

Object Based

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

10.1007/978-3-319-46723-8_48 ◽

2016 ◽

pp. 415-423 ◽

Cited By ~ 139

Author(s):

Patrick Ferdinand Christ ◽

Mohamed Ezzeldin A. Elshaer ◽

Florian Ettlinger ◽

Sunil Tatavarty ◽

Marc Bickel ◽

...

Keyword(s):

Neural Networks ◽

Random Fields ◽

Fully Convolutional Neural Networks

Lesion Segmentation ◽

Environmental microorganism classification using conditional random fields and deep convolutional neural networks

Pattern Recognition ◽

10.1016/j.patcog.2017.12.021 ◽

2018 ◽

Vol 77 ◽

pp. 248-261 ◽

Cited By ~ 21

Author(s):

Sergey Kosov ◽

Kimiaki Shirahama ◽

Chen Li ◽

Marcin Grzegorzek

Keyword(s):

Neural Networks ◽

Random Fields ◽

Deep Convolutional Neural Networks ◽

Microorganism Classification ◽

Environmental Microorganism

Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random Fields

IEEE Journal of Biomedical and Health Informatics ◽

10.1109/jbhi.2018.2794552 ◽

2018 ◽

Vol 22 (6) ◽

pp. 1906-1916 ◽

Cited By ~ 8

Author(s):

Cheng Jin ◽

Jianjiang Feng ◽

Lei Wang ◽

Heng Yu ◽

Jiang Liu ◽

...

Keyword(s):

Neural Networks ◽

Random Fields ◽

Left Atrial ◽

Fully Convolutional Neural Networks

Left Atrial Appendage ◽

Three Dimensional ◽

Atrial Appendage ◽

Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields

Remote Sensing ◽

10.3390/rs9070680 ◽

2017 ◽

Vol 9 (7) ◽

pp. 680 ◽

Cited By ~ 38

Author(s):

Teerapong Panboonyuen ◽

Kulsawasd Jitkajornwanich ◽

Siam Lawawirojwong ◽

Panu Srestasathiern ◽

Peerapon Vateekul

Keyword(s):

Neural Networks ◽

Landscape Metrics ◽

Random Fields ◽

Remotely Sensed ◽

Deep Convolutional Neural Networks ◽

Remotely Sensed Images ◽

Road Segmentation

Conditional random fields incorporate convolutional neural networks for human eye sclera semantic segmentation

2017 IEEE International Joint Conference on Biometrics (IJCB) ◽

10.1109/btas.2017.8272768 ◽

2017 ◽

Cited By ~ 2

Author(s):

Russel Mesbah ◽

Brendan McCane ◽

Steven Mills

Keyword(s):

Neural Networks ◽

Random Fields ◽

Semantic Segmentation ◽

Human Eye

Automatic meniscus segmentation using cascaded deep convolutional neural networks with 2D conditional random fields in knee MR images

International Workshop on Advanced Imaging Technology (IWAIT) 2020 ◽

10.1117/12.2566450 ◽

2020 ◽

Author(s):

UJU JEON ◽

HYEONJIN KIM ◽

HELEN HONG ◽

JOONHO WANG

Keyword(s):

Neural Networks ◽

Random Fields ◽

Deep Convolutional Neural Networks

Mr Images ◽

2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) ◽

Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields

10.1109/fg.2017.99 ◽

2017 ◽

Cited By ~ 24

Author(s):

Behzad Hasani ◽

Mohammad H. Mahoor

Keyword(s):

Neural Networks ◽

Facial Expression ◽

Random Fields ◽

Facial Expression Recognition ◽

Expression Recognition ◽

Spatio Temporal

Deep convolutional neural networks for uncertainty propagation in random fields

Computer-Aided Civil and Infrastructure Engineering ◽

10.1111/mice.12510 ◽

2019 ◽

Vol 34 (12) ◽

pp. 1043-1054 ◽

Cited By ~ 2

Author(s):

Xihaier Luo ◽

Ahsan Kareem

Keyword(s):

Neural Networks ◽

Deep Convolutional Neural Networks

Random Fields ◽

Uncertainty Propagation ◽

Combination of Neural Networks and Conditional Random Fields for Efficient Resume Parsing

2018 International CET Conference on Control, Communication, and Computing (IC4) ◽

10.1109/cetic4.2018.8530883 ◽

2018 ◽

Cited By ~ 1

Author(s):

C H Ayishathahira ◽

C Sreejith ◽

C Raseek

Keyword(s):

Neural Networks ◽

Random Fields ◽

Conditional Random Fields

Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127432 ◽

2017 ◽

Cited By ~ 2

Author(s):

Carolyne Danilla ◽

Claudio Persello ◽

Valentyn Tolpekin ◽

John Ray Bergado

Keyword(s):

Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Sar Images ◽

Markov Random