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Medical Image Analysis
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March 25, 2023
Beyond rankings: Learning (more) from algorithm validation
Tobias Roß, Pierangela Bruno, Annika Reinke, et al.
Magnetic Resonance Imaging
|
May 7, 2026
Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection
Balint Kovacs, Kevin Sun Zhang, Michael Baumgartner, et al.
Urology
|
July 30, 2023
AI-generated R.E.N.A.L.+ Score Surpasses Human-generated Score in Predicting Renal Oncologic Outcomes
Nour Abdallah, Andrew Wood, Tarik Benidir, et al.
Nature Communications
|
November 28, 2024
LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
Lin Yang, Qiongliang Liu, Pramod Kumar, et al.
Neuro-Oncology
|
May 13, 2020
Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trial
Marianne Schell, Irada Pflüger, Gianluca Brugnara, et al.
Urology
|
February 6, 2025
A Fully Automated Artificial Intelligence-Based Approach to Predict Renal Function After Radical or Partial Nephrectomy
Nour Abdallah, Nityam Rathi, Nicholas Heller, et al.
Radiology
|
July 29, 2020
Noninvasive Characterization of Tumor Angiogenesis and Oxygenation in Bevacizumab-treated Recurrent Glioblastoma by Using Dynamic Susceptibility MRI: Secondary Analysis of the European Organization for Research and Treatment of Cancer 26101 Trial
Philipp Kickingereder, Gianluca Brugnara, Mikkel Bo Hansen, et al.
Neuro-Oncology
|
August 2, 2022
Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study
Philipp Vollmuth, Martha Foltyn, Raymond Y Huang, et al.
The Lancet. Oncology
|
April 7, 2019
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study
Philipp Kickingereder, Fabian Isensee, Irada Tursunova, 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.
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of 6
Search research articles
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Showing results (21-30 of 51) with videos related to
Sort By:
Page
of 6
Medical Image Analysis
|
March 25, 2023
Beyond rankings: Learning (more) from algorithm validation
Tobias Roß, Pierangela Bruno, Annika Reinke, et al.
Magnetic Resonance Imaging
|
May 7, 2026
Incorporating functional soft tissue deformations in AI model training for spatially accurate prostate cancer detection
Balint Kovacs, Kevin Sun Zhang, Michael Baumgartner, et al.
Urology
|
July 30, 2023
AI-generated R.E.N.A.L.+ Score Surpasses Human-generated Score in Predicting Renal Oncologic Outcomes
Nour Abdallah, Andrew Wood, Tarik Benidir, et al.
Nature Communications
|
November 28, 2024
LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
Lin Yang, Qiongliang Liu, Pramod Kumar, et al.
Neuro-Oncology
|
May 13, 2020
Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trial
Marianne Schell, Irada Pflüger, Gianluca Brugnara, et al.
Urology
|
February 6, 2025
A Fully Automated Artificial Intelligence-Based Approach to Predict Renal Function After Radical or Partial Nephrectomy
Nour Abdallah, Nityam Rathi, Nicholas Heller, et al.
Radiology
|
July 29, 2020
Noninvasive Characterization of Tumor Angiogenesis and Oxygenation in Bevacizumab-treated Recurrent Glioblastoma by Using Dynamic Susceptibility MRI: Secondary Analysis of the European Organization for Research and Treatment of Cancer 26101 Trial
Philipp Kickingereder, Gianluca Brugnara, Mikkel Bo Hansen, et al.
Neuro-Oncology
|
August 2, 2022
Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study
Philipp Vollmuth, Martha Foltyn, Raymond Y Huang, et al.
The Lancet. Oncology
|
April 7, 2019
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study
Philipp Kickingereder, Fabian Isensee, Irada Tursunova, 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.
Page
of 6