default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDiMIMIC/ML-CDS@MICCAI 2019: Shenzhen, China
- Kenji Suzuki
, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi:
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11797, Springer 2019, ISBN 978-3-030-33849-7
Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019)
- Fabian Eitel, Kerstin Ritter:
Testing the Robustness of Attribution Methods for Convolutional Neural Networks in MRI-Based Alzheimer's Disease Classification. 3-11 - Hugo Yèche, Justin Harrison, Tess Berthier:
UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics. 12-20 - Hyebin Lee, Seong Tae Kim, Yong Man Ro:
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis. 21-29 - Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev:
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. 30-38 - Peifei Zhu, Masahiro Ogino:
Guideline-Based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules. 39-47 - Kyle Young, Gareth Booth, Becks Simpson, Reuben Dutton, Sally Shrapnel:
Deep Neural Network or Dermatologist? 48-55 - Vincent Couteaux, Olivier Nempont, Guillaume Pizaine, Isabelle Bloch:
Towards Interpretability of Segmentation Networks by Analyzing DeepDreams. 56-63
9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019)
- Jiang Tian, Cheng Zhong, Zhongchao Shi, Feiyu Xu:
Towards Automatic Diagnosis from Multi-modal Medical Data. 67-74 - Mustafa Arikan, Amir Sadeghipour, Bianca S. Gerendas, Reinhard Told, Ursula Schmidt-Erfurth:
Deep Learning Based Multi-modal Registration for Retinal Imaging. 75-82 - Aydan Gasimova:
Automated Enriched Medical Concept Generation for Chest X-ray Images. 83-92
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-03-04 01:37 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
