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Computers in Biology and Medicine
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September 18, 2022
StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, et al.
Scientific Reports
|
April 6, 2025
Complex-valued neural networks to speed-up MR thermometry during hyperthermia using Fourier PD and PDUNet
Rupali Khatun, Soumick Chatterjee, Christoph Bert, et al.
Computers in Biology and Medicine
|
January 23, 2023
Liver segmentation using Turbolift learning for CT and cone-beam C-arm perfusion imaging
Hana Haseljić, Soumick Chatterjee, Robert Frysch, et al.
Neuroimage
|
July 17, 2025
LUMEN-A deep learning pipeline for analysis of the 3D morphology of the cerebral lenticulostriate arteries from time-of-flight 7T MRI
Rui Li, Soumick Chatterjee, Yeerfan Jiaerken, et al.
Journal of Imaging
|
February 23, 2024
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images
Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, et al.
Journal of Imaging
|
September 27, 2024
Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution
Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, et al.
Nature Communications
|
June 29, 2026
Hundreds of cardiac MRI traits derived using 3D diffusion autoencoders share a common genetic architecture
Sara Ometto, Soumick Chatterjee, Andrea Mario Vergani, et al.
Biorxiv : the Preprint Server for Biology
|
June 3, 2024
VesselBoost: A Python Toolbox for Small Blood Vessel Segmentation in Human Magnetic Resonance Angiography Data
Marshall Xu, Fernanda L Ribeiro, Markus Barth, et al.
Medical Image Analysis
|
January 9, 2021
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
A Emre Kavur, N Sinem Gezer, Mustafa Barış, et al.
Biomedizinische Technik. Biomedical Engineering
|
December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer vision
Jianning Li, Zongwei Zhou, Jiancheng Yang, et al.
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Showing results (11-20 of 20) with videos related to
Sort By:
Page
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This site can display upto 20 results.
Computers in Biology and Medicine
|
September 18, 2022
StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, et al.
Scientific Reports
|
April 6, 2025
Complex-valued neural networks to speed-up MR thermometry during hyperthermia using Fourier PD and PDUNet
Rupali Khatun, Soumick Chatterjee, Christoph Bert, et al.
Computers in Biology and Medicine
|
January 23, 2023
Liver segmentation using Turbolift learning for CT and cone-beam C-arm perfusion imaging
Hana Haseljić, Soumick Chatterjee, Robert Frysch, et al.
Neuroimage
|
July 17, 2025
LUMEN-A deep learning pipeline for analysis of the 3D morphology of the cerebral lenticulostriate arteries from time-of-flight 7T MRI
Rui Li, Soumick Chatterjee, Yeerfan Jiaerken, et al.
Journal of Imaging
|
February 23, 2024
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images
Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, et al.
Journal of Imaging
|
September 27, 2024
Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution
Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, et al.
Nature Communications
|
June 29, 2026
Hundreds of cardiac MRI traits derived using 3D diffusion autoencoders share a common genetic architecture
Sara Ometto, Soumick Chatterjee, Andrea Mario Vergani, et al.
Biorxiv : the Preprint Server for Biology
|
June 3, 2024
VesselBoost: A Python Toolbox for Small Blood Vessel Segmentation in Human Magnetic Resonance Angiography Data
Marshall Xu, Fernanda L Ribeiro, Markus Barth, et al.
Medical Image Analysis
|
January 9, 2021
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
A Emre Kavur, N Sinem Gezer, Mustafa Barış, et al.
Biomedizinische Technik. Biomedical Engineering
|
December 29, 2024
<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer vision
Jianning Li, Zongwei Zhou, Jiancheng Yang, et al.
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