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Publication search results
found 11 matches
- 2022
- DaeHyun Cho, Christian Wallraven:
Do Pre-processing and Augmentation Help Explainability? A Multi-seed Analysis for Brain Age Estimation. iMIMIC@MICCAI 2022: 12-21 - Paul Engstler, Matthias Keicher, David Schinz, Kristina Mach, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Ashkan Khakzar, Nassir Navab:
Interpretable Vertebral Fracture Diagnosis. iMIMIC@MICCAI 2022: 71-81 - Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller
, María Rodríguez Martínez:
Attention-Based Interpretable Regression of Gene Expression in Histology. iMIMIC@MICCAI 2022: 44-60 - Florian Kowarsch
, Lisa Weijler, Matthias Wödlinger, Michael Reiter
, Margarita Maurer-Granofszky, Angela Schumich, Elisa O. Sajaroff, Stefanie Groeneveld-Krentz, Jorge G. Rossi, Leonid Karawajew, Richard Ratei, Michael N. Dworzak:
Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data. iMIMIC@MICCAI 2022: 22-32 - Rosa C. J. Kraaijveld, Marielle E. P. Philippens, Wietse S. C. Eppinga, Ina M. Jürgenliemk-Schulz, Kenneth G. A. Gilhuijs, Petra S. Kroon, Bas H. M. van der Velden:
Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT. iMIMIC@MICCAI 2022: 82-92 - Dongyang Kuang
, Craig Michoski
:
KAM - A Kernel Attention Module for Emotion Classification with EEG Data. iMIMIC@MICCAI 2022: 93-103 - Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
:
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI 2022: 61-70 - Jiahao Lu
, Chong Yin, Oswin Krause, Kenny Erleben
, Michael Bachmann Nielsen
, Sune Darkner:
Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis. iMIMIC@MICCAI 2022: 33-43 - Amy Rafferty
, Rudolf Nenutil, Ajitha Rajan:
Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful. iMIMIC@MICCAI 2022: 104-123 - Hanxiao Zhang, Liang Chen, Minghui Zhang
, Xiao Gu, Yulei Qin
, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging. iMIMIC@MICCAI 2022: 1-11 - Mauricio Reyes
, Pedro Henriques Abreu
, Jaime S. Cardoso
:
Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13611, Springer 2022, ISBN 978-3-031-17975-4 [contents]
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