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Publication search results
found 100 matches
- 2022
- Muhammad Asad, Lucas Fidon, Tom Vercauteren:
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation. MIDL 2022: 35-47 - Tobias Knopp, Mirco Grosser:
Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography. MIDL 2022: 713-725 - Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso:
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation. MIDL 2022: 250-260 - Ameen Ali, Tal Shaharabany, Lior Wolf:
Explainability Guided COVID-19 Detection in CT Scans. MIDL 2022: 5-21 - Tamaz Amiranashvili, David Lüdke, Hongwei Bran Li, Bjoern H. Menze, Stefan Zachow:
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions. MIDL 2022: 22-34 - Reza Azad, Nika Khosravi, Dorit Merhof:
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities. MIDL 2022: 48-62 - Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda:
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. MIDL 2022: 63-85 - Mathieu G. G. Bartels, Ivona Najdenkoska, Rutger R. van de Leur, Arjan Sammani, Karim Taha, David M. Knigge, Pieter A. F. M. Doevendans, Marcel Worring, René van Es:
Learning to Automatically Generate Accurate ECG Captions. MIDL 2022: 86-102 - Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
Negative Evidence Matters in Interpretable Histology Image Classification. MIDL 2022: 103-129 - Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert:
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays. MIDL 2022: 130-149 - Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu:
Bridging the Gap: Point Clouds for Merging Neurons in Connectomics. MIDL 2022: 150-159 - Florentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin:
Position Regression for Unsupervised Anomaly Detection. MIDL 2022: 160-172 - Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. MIDL 2022: 173-187 - Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne:
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. MIDL 2022: 188-198 - João B. S. Carvalho, João A. Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M. Buhmann:
Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence. MIDL 2022: 199-218 - Krishna Chaitanya, Chloé Audigier, Laura Elena Balascuta, Tommaso Mansi:
Automatic planning of liver tumor thermal ablation using deep reinforcement learning. MIDL 2022: 219-230 - Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P. Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand:
TorchXRayVision: A library of chest X-ray datasets and models. MIDL 2022: 231-249 - Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman:
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG. MIDL 2022: 261-281 - Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson:
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis. MIDL 2022: 282-303 - Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo:
Single Dynamic Network for Multi-label Renal Pathology Image Segmentation. MIDL 2022: 304-314 - Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier:
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. MIDL 2022: 315-324 - Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL 2022: 325-352 - Serge Vasylechko Didenko, Simon K. Warfield, Sila Kurugol, Onur Afacan:
SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction. MIDL 2022: 1268-1284 - Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni:
Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies. MIDL 2022: 353-369 - Andrei Dmitrenko, Mauro M. Masiero, Nicola Zamboni:
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data. MIDL 2022: 370-386 - Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel:
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. MIDL 2022: 387-406 - Moritz Fuchs, Camila González, Anirban Mukhopadhyay:
Practical uncertainty quantification for brain tumor segmentation. MIDL 2022: 407-422 - Lucy Godson, Navid Alemi Koohbanani, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya:
Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups. MIDL 2022: 423-440 - Karol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay:
i3Deep: Efficient 3D interactive segmentation with the nnU-Net. MIDL 2022: 441-456 - Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL 2022: 457-476
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