MIDL 2022 Conference Submissions

Fully automated segmentation of upper and lower jaws from3D intra-oral surface scanners
Mathieu Leclercq, Antonio Ruellas, Marcela Gurgel, Marilia Yatabe, Jonas Bianchi, Lucia Cevidanes, Martin Andreas Styner, Beatriz Paniagua, Juan Carlos Prieto
- 17 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring
Royden Wagner, Karl Rohr
- Published: 28 Feb 2022, Last Modified: 29 Apr 2024
- MIDL 2022
- Readers: Everyone
Investigation of Training Multiple Instance Learning with Instance Sampling
Aliasghar Tarkhan, Trung Kien Nguyen, Noah Simon, Jian Dai
- 17 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
Explainable Weakly-Supervised Cell Nuclei Segmentation by Canonical Shape Learning and Transformation
Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S Cardoso
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?
Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub
- 17 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
MRI bias field correction with an implicitly trained CNN.
Attila Tibor Simko, Tommy Löfstedt, Anders Garpebring, Tufve Nyholm, Joakim Jonsson
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers
Justin Huynh, Samira Masoudi, Abraham Noorbakhsh, Amin Mahmoodi, kyle Hasenstab, Micheal Pazzani, Albert Hsiao
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Scale Aware Multi-Instance Learning for Early Prognosis of Subjects at Risk of Developing Hepatocellular Carcinoma
Ananya Jana, Ramanathan Arunachalam, Carlos D Minacapelli, Kaitlyn Catalano, Carlos Joaquin Catalano, Vinod K Rustgi, Dimitris N. Metaxas
- 16 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
Multi-Class Bayesian Segmentation of Robotically Acquired Ultrasound Enabling 3D Site Selection along Femoral Vessels for Planning Safer Needle Insertion
Edward Chen, FNU Abhimanyu, Ananya Bal, Nishanth Thumbavanam Arun, Andrew Schoenling, Joo Yoon, Kelvin Kwofie, Lenny Weiss, Marek Radomski, Frank Guyette, Howie Choset, John Galeotti
- 13 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation
Muhammad Asad, Lucas Fidon, Tom Vercauteren
- Published: 28 Feb 2022, Last Modified: 29 Apr 2024
- MIDL 2022
- Readers: Everyone
Local Residual Attention Network for Classification of Breast Cancer Histopathology Images
Rakshith Subramanyam, Skanda Suresh, Mark Naufel, Spring Berman, Pavan K. Turaga
- 10 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
Primary open-angle glaucoma diagnosis from fundusphotographs using siamese network
MINGQUAN LIN, Lei Liu, Mae Gordon, Michael Kass, Fei Wang, Sarah H. Van Tassel, Yifan Peng
- 10 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
Automatic Landmark Identification in 3D Cone-Beam Computed Tomography scans
Maxime Paul Guy Gillot, Baptiste Antoine Baquero, Juan Carlos Prieto, Lucia Cevidanes
- 10 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
SynthMap: a generative model for synthesis of 3D datasets for quantitative MRI parameter mapping of myelin water fraction
Serge Vasylechko, Simon Keith Warfield, Sila Kurugol, Onur Afacan
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
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
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Systematic comparison of incomplete-supervision approaches for biomedical imaging classification
Sayedali SHETAB BOUSHEHRI, Ahmad Bin Qasim, Dominik Waibel, Fabian Schmich, Carsten Marr
- 10 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
Learning to Automatically Generate Accurate ECG Captions
Mathieu Guido Geert Bartels, Ivona Najdenkoska, Rutger van de Leur, Arjan Sammani, Karim Taha, David M Knigge, Pieter A Doevendans, Marcel Worring, René van Es
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Unsupervised Representation Learning of Cingulate Cortical Folding Patterns
Joël Chavas, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-Francois Mangin
- 10 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
Warmstart Approach for Accelerating Deep Image Prior Reconstruction in Dynamic Tomography
Tobias Knopp, Mirco Grosser
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation
Navid Rabbani, Callyane Seve, Nicolas Bourdel, Adrien Bartoli
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Biomedical image segmentation at point of care
René Groh, Stephan Dürr, Anne Schützenberger, Marion Semmler, Andreas M Kist
- 10 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
Fitting Segmentation Networks on Varying Image Resolutions using Splatting
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
- 10 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone
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
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone
Confidence Histograms for Model Reliability Analysis and Temperature Calibration
Farina Kock, Felix Thielke, Grzegorz Chlebus, Hans Meine
- Published: 28 Feb 2022, Last Modified: 16 May 2023
- MIDL 2022
- Readers: Everyone