1 code implementation • 26 Nov 2024 • Paul Friedrich, Alicia Durrer, Julia Wolleb, Philippe C. Cattin
This paper contributes to the "BraTS 2024 Brain MR Image Synthesis Challenge" and presents a conditional Wavelet Diffusion Model (cWDM) for directly solving a paired image-to-image translation task on high-resolution volumes.
no code implementations • 31 Oct 2024 • Cosmin I. Bercea, Philippe C. Cattin, Julia A. Schnabel, Julia Wolleb
This chapter explores anomaly localization in medical images using denoising diffusion models.
1 code implementation • 16 Aug 2024 • Florentin Bieder, Paul Friedrich, Hélène Corbaz, Alicia Durrer, Julia Wolleb, Philippe C. Cattin
In this work, we model the neonatal development of the infant brain in this age range.
1 code implementation • 21 Mar 2024 • Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich, Lester Melie-Garcia, Mario Ocampo-Pineda, Cosmin I. Bercea, Ibrahim E. Hamamci, Benedikt Wiestler, Marie Piraud, Özgür Yaldizli, Cristina Granziera, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler
Monitoring diseases that affect the brain's structural integrity requires automated analysis of magnetic resonance (MR) images, e. g., for the evaluation of volumetric changes.
1 code implementation • 18 Mar 2024 • Julia Wolleb, Florentin Bieder, Paul Friedrich, Peter Zhang, Alicia Durrer, Philippe C. Cattin
As diffusion-based methods require a lot of GPU memory and have long sampling times, we present a novel and fast unsupervised anomaly detection approach based on latent Bernoulli diffusion models.
1 code implementation • 29 Feb 2024 • Paul Friedrich, Julia Wolleb, Florentin Bieder, Alicia Durrer, Philippe C. Cattin
Due to the three-dimensional nature of CT- or MR-scans, generative modeling of medical images is a particularly challenging task.
no code implementations • 27 Feb 2024 • Alicia Durrer, Philippe C. Cattin, Julia Wolleb
We use a 2D model that is trained using slices in which healthy tissue was cropped out and is learned to be inpainted again.
2 code implementations • 27 Jul 2023 • Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
We have implemented these models in a generalisable fashion, illustrating that their results can be extended to 2D or 3D scenarios, including medical images with different modalities (like CT, MRI, and X-Ray data) and from different anatomical areas.
1 code implementation • 15 May 2023 • Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Stefan K Ehrlich, Annika Reinke, Eva Oswald, Diana Waldmannstetter, Florian Hoelzl, Izabela Horvath, Oezguen Turgut, Suprosanna Shit, Christina Bukas, Kaiyuan Yang, Johannes C. Paetzold, Ezequiel de da Rosa, Isra Mekki, Shankeeth Vinayahalingam, Hasan Kassem, Juexin Zhang, Ke Chen, Ying Weng, Alicia Durrer, Philippe C. Cattin, Julia Wolleb, M. S. Sadique, M. M. Rahman, W. Farzana, A. Temtam, K. M. Iftekharuddin, Maruf Adewole, Syed Muhammad Anwar, Ujjwal Baid, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Hongwei Bran Li, Ahmed W Moawad, Gian-Marco Conte, Keyvan Farahani, James Eddy, Micah Sheller, Sarthak Pati, Alexandros Karagyris, Alejandro Aristizabal, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Elaine Johanson, Zeke Meier, Ariana Familiar, Christos Davatzikos, John Freymann, Justin Kirby, Michel Bilello, Hassan M Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R Colen, Aikaterini Kotrotsou, Pamela Lamontagne, Daniel Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier Villanueva-Meyer, Errol Colak, Priscila Crivellaro, Andras Jakab, Abiodun Fatade, Olubukola Omidiji, Rachel Akinola Lagos, O O Olatunji, Goldey Khanna, John Kirkpatrick, Michelle Alonso-Basanta, Arif Rashid, Miriam Bornhorst, Ali Nabavizadeh, Natasha Lepore, Joshua Palmer, Antonio Porras, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Evan Calabrese, Jeffrey David Rudie, Marius George Linguraru, Juan Eugenio Iglesias, Koen van Leemput, Spyridon Bakas, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H Menze
The challenge is organized as part of the ASNR-BraTS MICCAI challenge.
1 code implementation • 27 Mar 2023 • Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin
Denoising diffusion models have recently achieved state-of-the-art performance in many image-generation tasks.
1 code implementation • 14 Mar 2023 • Paul Friedrich, Julia Wolleb, Florentin Bieder, Florian M. Thieringer, Philippe C. Cattin
Advances in 3D printing of biocompatible materials make patient-specific implants increasingly popular.
no code implementations • 14 Mar 2023 • Alicia Durrer, Julia Wolleb, Florentin Bieder, Tim Sinnecker, Matthias Weigel, Robin Sandkühler, Cristina Granziera, Özgür Yaldizli, Philippe C. Cattin
We map images from the source contrast to the target contrast for both directions, from 3 T to 1. 5 T and from 1. 5 T to 3 T. As we only want to change the contrast, not the anatomical information, our method uses the original image to guide the image-to-image translation process by adding structural information.
1 code implementation • 31 Jan 2023 • Eva Schnider, Julia Wolleb, Antal Huck, Mireille Toranelli, Georg Rauter, Magdalena Müller-Gerbl, Philippe C. Cattin
The approach thus improves the accuracy and efficiency of distinct bone segmentation from upper-body CT.
1 code implementation • 19 Jan 2023 • Florentin Bieder, Julia Wolleb, Robin Sandkühler, Philippe C. Cattin
Most current anomaly detection methods for medical images are based on image reconstruction.
no code implementations • 6 Apr 2022 • Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe C. Cattin
We build on a method for image-to-image translation using denoising diffusion implicit models and include a regression problem and a segmentation problem for guiding the image generation to the desired output.
2 code implementations • 8 Mar 2022 • Julia Wolleb, Florentin Bieder, Robin Sandkühler, Philippe C. Cattin
In medical applications, weakly supervised anomaly detection methods are of great interest, as only image-level annotations are required for training.
3 code implementations • 6 Dec 2021 • Julia Wolleb, Robin Sandkühler, Florentin Bieder, Philippe Valmaggia, Philippe C. Cattin
By modifying the training and sampling scheme, we show that diffusion models can perform lesion segmentation of medical images.
1 code implementation • 13 Oct 2021 • Julia Wolleb, Robin Sandkühler, Florentin Bieder, Muhamed Barakovic, Nouchine Hadjikhani, Athina Papadopoulou, Özgür Yaldizli, Jens Kuhle, Cristina Granziera, Philippe C. Cattin
The limited availability of large image datasets, mainly due to data privacy and differences in acquisition protocols or hardware, is a significant issue in the development of accurate and generalizable machine learning methods in medicine.
1 code implementation • 28 Jul 2020 • Julia Wolleb, Robin Sandkühler, Philippe C. Cattin
In this work, we present a weakly supervised and detail-preserving method that is able to detect structural changes of existing anatomical structures.