MIDL 2023
98 papers
A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes
Lars Leyendecker, Julius Haas, Tobias Piotrowski, Maik Frye, Cora Becker, Bernd K. Fleischmann, Michael Hesse, Robert H. Schmitt Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images
Boyeong Woo, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning
Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold Breathing Freely: Self-Supervised Liver T1rho Mapping from a Single T1rho-Weighted Image
Chaoxing Huang, Yurui Qian, Jian Hou, Baiyan Jiang, Queenie Chan, Vincent Wong, Winne Chu, Weitian Chen CAD-RADS Scoring Using Deep Learning and Task-Specific Centerline Labeling
Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier Cell Anomaly Localisation Using Structured Uncertainty Prediction Networks
Boyko Vodenicharski, Samuel McDermott, Katherine M. Webber, Viola Introini, Pietro Cicuta, Richard Bowman, Ivor J. A. Simpson, Neill D. F. Campbell Deep Learning for Model Correction in Cardiac Electrophysiological Imaging
Victoriya Kashtanova, Ibrahim Ayed, Andony Arrieula, Mark Potse, Patrick Gallinari, Maxime Sermesant Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers
Justin Huynh, Samira Masoudi, Abraham Noorbaksh, Kyle Hasenstab, Michael Pazzani, Albert Hsiao Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis
Jingya Liu, Bin Lou, Mamadou Diallo, Tongbai Meng, Heinrich Busch, Robert Grimm, Yingli Tian, Dorin Comaniciu, Ali Kamen, ProstateAI Clinical Collaborators Diffusion Models for Implicit Image Segmentation Ensembles
Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection
Lisa M Koch, Christian M Schürch, Arthur Gretton, Philipp Berens Hierarchical Optimal Transport for Comparing Histopathology Datasets
Anna Yeaton, Rahul G. Krishnan, Rebecca Mieloszyk, David Alvarez-Melis, Grace Huynh Holistic Modeling in Medical Image Segmentation Using Spatial Recurrence
João BS Carvalho, João Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M Buhmann i3Deep: Efficient 3D Interactive Segmentation with the nnU-Net
Karol Gotkowski, Camila Gonzalez, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay Improving Explainability of Disentangled Representations Using Multipath-Attribution Mappings
Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-Rays
Benjamin Bergner, Csaba Rohrer, Aiham Taleb, Martha Duchrau, Guilherme De Leon, Jonas Rodrigues, Falk Schwendicke, Joachim Krois, Christoph Lippert Label Conditioned Segmentation
Tianyu Ma, Benjamin C Lee, Mert R Sabuncu Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius deGroot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob Learning Strategies for Contrast-Agnostic Segmentation via SynthSeg for Infant MRI Data
Ziyao Shang, Md Asadullah Turja, Eric Feczko, Audrey Houghton, Amanda Rueter, Lucille A Moore, Kathy Snider, Timothy Hendrickson, Paul Reiners, Sally Stoyell, Omid Kardan, Monica Rosenberg, Jed T Elison, Damien A Fair, Martin A Styner Learning to Automatically Generate Accurate ECG Captions
Mathieu G. G. Bartels, Ivona Najdenkoska, Rutger R Leur, Arjan Sammani, Karim Taha, David M Knigge, Pieter A Doevendans, Marcel Worring, René Es MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning
Damir Vrabac, Akshay Smit, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar MRI Bias Field Correction with an Implicitly Trained CNN
Attila Simkó, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson Negative Evidence Matters in Interpretable Histology Image Classification
Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luck McCaffrey, Eric Granger On the Pitfalls of Using the Residual Error as Anomaly Score
Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert Position Regression for Unsupervised Anomaly Detection
Florentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin Segmentation-Consistent Probabilistic Lesion Counting
Julien Schroeter, Chelsea Myers-Colet, Douglas L Arnold, Tal Arbel Self-Supervised Transformers for fMRI Representation
Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data
Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xose Luis Dean-Ben, Fernando Perez-Cruz, Daniel Razansky Speckle and Shadows: Ultrasound-Specific Physics-Based Data Augmentation for Kidney Segmentation
Rohit Singla, Cailin Ringstrom, Ricky Hu, Victoria Lessoway, Janice Reid, Robert Rohling, Christophe Nguan Structural Networks for Brain Age Prediction
Oscar Pina, Irene Cumplido-Mayoral, Raffaele Cacciaglia, José María González-de-Echávarri, Juan Domingo Gispert, Verónica Vilaplana Surface Vision Transformers: Attention-Based Modelling Applied to Cortical Analysis
Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang, Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert, Emma C. Robinson TopoFit: Rapid Reconstruction of Topologically-Correct Cortical Surfaces
Andrew Hoopes, Juan Eugenio Iglesias, Bruce Fischl, Douglas Greve, Adrian V Dalca TorchXRayVision: A Library of Chest X-Ray Datasets and Models
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 Transformer-Based Out-of-Distribution Detection for Clinically Safe Segmentation
Mark S Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U-King-Im, Yee H Mah, James T Teo, Rolf Jager, David Werring, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction
Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M Pauly, Akshay S. Chaudhari Weakly-Supervised Learning for Image-Based Classification of Primary Melanomas into Genomic Immune Subgroups
Lucy Godson, Navid Alemi, Jérémie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Newton-Bishop Julia, Ali Gooya