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Publication search results
found 67 matches
- 2020
- David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). MIDL 2020: 811-826 - Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. MIDL 2020: 6-18 - Jakob K. H. Andersen, Jakob Grauslund, Thiusius R. Savarimuthu:
Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images. MIDL 2020: 19-32 - Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joël Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge:
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. MIDL 2020: 33-43 - Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas:
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL 2020: 44-61 - Laurens Beljaards, Mohamed S. Elmahdy, Fons J. Verbeek, Marius Staring:
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy. MIDL 2020: 62-74 - Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca:
A Learning Strategy for Contrast-agnostic MRI Segmentation. MIDL 2020: 75-93 - Luisa Sánchez Brea, Danilo Andrade De Jesus, Stefan Klein, Theo van Walsum:
Deep learning-based retinal vessel segmentation with cross-modal evaluation. MIDL 2020: 709-720 - Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia:
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. MIDL 2020: 94-110 - Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn:
Fast Mitochondria Detection for Connectomics. MIDL 2020: 111-120 - Kaiyang Cheng, Francesco Calivá, Rutwik Shah, Misung Han, Sharmila Majumdar, Valentina Pedoia:
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training. MIDL 2020: 121-135 - Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand:
On the limits of cross-domain generalization in automated X-ray prediction. MIDL 2020: 136-155 - Yukun Ding, Jinglan Liu, Xiaowei Xu, Meiping Huang, Jian Zhuang, Jinjun Xiong, Yiyu Shi:
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation. MIDL 2020: 156-173 - Richard Du, Varut Vardhanabhuti:
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. MIDL 2020: 174-192 - Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien:
Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone. MIDL 2020: 193-204 - Pierre Erbacher, Carole Lartizien, Matthieu Martin, Pedro Foletto-Pimenta, Philippe Quetin, Philippe Delachartre:
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography. MIDL 2020: 205-216 - Achraf Essemlali, Etienne St-Onge, Maxime Descoteaux, Pierre-Marc Jodoin:
Understanding Alzheimer disease's structural connectivity through explainable AI. MIDL 2020: 217-229 - Ahmed E. Fetit, Amir Alansary, Lucilio Cordero-Grande, John Cupitt, Alice B. Davidson, A. David Edwards, Joseph V. Hajnal, Emer J. Hughes, Konstantinos Kamnitsas, Vanessa Kyriakopoulou, Antonios Makropoulos, Prachi A. Patkee, Anthony N. Price, Mary A. Rutherford, Daniel Rueckert:
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling. MIDL 2020: 241-261 - Ahmed E. Fetit, John Cupitt, Turkay Kart, Daniel Rueckert:
Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain. MIDL 2020: 230-240 - Logan Gilmour, Nilanjan Ray:
Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention. MIDL 2020: 262-276 - Mohammad MinHazul Haq, Junzhou Huang:
Adversarial Domain Adaptation for Cell Segmentation. MIDL 2020: 277-287 - Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen:
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays. MIDL 2020: 288-303 - Peter Hirsch, Dagmar Kainmueller:
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images. MIDL 2020: 304-321 - Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling:
DIVA: Domain Invariant Variational Autoencoders. MIDL 2020: 322-348 - Padmaja Jonnalagedda, Brent D. Weinberg, Jason Allen, Bir Bhanu:
Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations. MIDL 2020: 349-364 - Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL 2020: 365-381 - Zhuo Kuang, Xianbo Deng, Li Yu, Hang Zhang, Xian Lin, Hui Ma:
Skull R-CNN: A CNN-based network for the skull fracture detection. MIDL 2020: 382-392 - Max-Heinrich Laves, Sontje Ihler, Jacob Friedemann Fast, Lüder A. Kahrs, Tobias Ortmaier:
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning. MIDL 2020: 393-412 - Matthias Lenga, Heinrich Schulz, Axel Saalbach:
Continual Learning for Domain Adaptation in Chest X-ray Classification. MIDL 2020: 413-423 - Wanyue Li, Wen Kong, Yiwei Chen, Jing Wang, Yi He, Guohua Shi, Guohua Deng:
Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks. MIDL 2020: 424-439
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