Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Michael A. Riegler

Michael A. Riegler
Alert button

Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods


May 10, 2023
Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen

Add code
Alert button

Figure 1 for Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods
Figure 2 for Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods
Figure 3 for Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods
Figure 4 for Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction


May 10, 2023
Tu T. Do, Mai Anh Vu, Hoang Thien Ly, Thu Nguyen, Steven A. Hicks, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen

Add code
Alert button

Figure 1 for Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction
Figure 2 for Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Mask-conditioned latent diffusion for generating gastrointestinal polyp images


Apr 11, 2023
Roman Macháček, Leila Mozaffari, Zahra Sepasdar, Sravanthi Parasa, Pål Halvorsen, Michael A. Riegler, Vajira Thambawita

Add code
Alert button

Figure 1 for Mask-conditioned latent diffusion for generating gastrointestinal polyp images
Figure 2 for Mask-conditioned latent diffusion for generating gastrointestinal polyp images
Figure 3 for Mask-conditioned latent diffusion for generating gastrointestinal polyp images
Figure 4 for Mask-conditioned latent diffusion for generating gastrointestinal polyp images

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Understanding metric-related pitfalls in image analysis validation


Feb 09, 2023
Annika Reinke, Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin Kurc, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

Add code
Alert button

Figure 1 for Understanding metric-related pitfalls in image analysis validation
Figure 2 for Understanding metric-related pitfalls in image analysis validation
Figure 3 for Understanding metric-related pitfalls in image analysis validation
Figure 4 for Understanding metric-related pitfalls in image analysis validation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Conditional expectation for missing data imputation


Feb 02, 2023
Mai Anh Vu, Thu Nguyen, Tu T. Do, Nhan Phan, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen

Add code
Alert button

Figure 1 for Conditional expectation for missing data imputation
Figure 2 for Conditional expectation for missing data imputation
Figure 3 for Conditional expectation for missing data imputation
Figure 4 for Conditional expectation for missing data imputation

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

VISEM-Tracking: Human Spermatozoa Tracking Dataset


Dec 23, 2022
Vajira Thambawita, Steven A. Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo L. Hammer, Pål Halvorsen, Michael A. Riegler

Add code
Alert button

Figure 1 for VISEM-Tracking: Human Spermatozoa Tracking Dataset
Figure 2 for VISEM-Tracking: Human Spermatozoa Tracking Dataset
Figure 3 for VISEM-Tracking: Human Spermatozoa Tracking Dataset
Figure 4 for VISEM-Tracking: Human Spermatozoa Tracking Dataset

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning


Nov 30, 2022
Vajira Thambawita, Andrea M. Storås, Steven A. Hicks, Pål Halvorsen, Michael A. Riegler

Add code
Alert button

Figure 1 for MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
Figure 2 for MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
Figure 3 for MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
Figure 4 for MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
* Submitted to https://hecktor.grand-challenge.org/ 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Combining datasets to increase the number of samples and improve model fitting


Oct 11, 2022
Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler

Add code
Alert button

Figure 1 for Combining datasets to increase the number of samples and improve model fitting
Figure 2 for Combining datasets to increase the number of samples and improve model fitting
Figure 3 for Combining datasets to increase the number of samples and improve model fitting

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
>>