Research Presentation Session

RPS 705 - AI in abdominal imaging

Lectures

1
RPS 705 - PET-CT co-registration and classification model for oesophagal cancer

RPS 705 - PET-CT co-registration and classification model for oesophagal cancer

06:09W. Chiu, Hong Kong / Hong Kong SAR China

2
RPS 705 - Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic carcinoma in MRI

RPS 705 - Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic carcinoma in MRI

04:42A. Mahnken, Marburg / Germany

3
RPS 705 - 3d MRI-based radiomics features in the prediction of placenta adhesion spectrum disorders in patients with placenta previa: a machine learning preliminary study

RPS 705 - 3d MRI-based radiomics features in the prediction of placenta adhesion spectrum disorders in patients with placenta previa: a machine learning preliminary study

04:56F. Verde, Naples / Italy

4
RPS 705 - Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model

RPS 705 - Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model

05:00Y. Yin, Groningen / Netherlands

5
RPS 705 - Texture analysis for diagnosis of steatohepatitis and chemotherapy-associated liver injuries: performances of a combined radiomic and clinical model

RPS 705 - Texture analysis for diagnosis of steatohepatitis and chemotherapy-associated liver injuries: performances of a combined radiomic and clinical model

04:37F. Fiz, Milan / Italy

6
RPS 705 - Using variable flip angle evolution to implement deep learning accelerated abdominal HASTE sequence in a single breath-hold at 3 T

RPS 705 - Using variable flip angle evolution to implement deep learning accelerated abdominal HASTE sequence in a single breath-hold at 3 T

06:12J. Herrmann, Tübingen / Germany

7
RPS 705 - Slice-propagated 3D gastric tumour segmentation from a single 2D annotation

RPS 705 - Slice-propagated 3D gastric tumour segmentation from a single 2D annotation

04:54Z. Chen, Beijing / China

8
RPS 705 - Quantitative edge analysis for the diagnosis of pancreatic carcinoma

RPS 705 - Quantitative edge analysis for the diagnosis of pancreatic carcinoma

04:49M. Bariani, Verona / Italy

9
RPS 705 - Accurate assessment of the minimal ablative margin and unablated region volume after liver tumor ablation on pre- and post-procedural contrast-enhanced CT: Using deep learning and image registration

RPS 705 - Accurate assessment of the minimal ablative margin and unablated region volume after liver tumor ablation on pre- and post-procedural contrast-enhanced CT: Using deep learning and image registration

04:37R. Shahzad, Cologne / Germany

10
RPS 705 - Locally advanced rectal cancer: T2w-MRI based radiomics may detect responder patients undergoing neoadjuvant chemoradiotherapy

RPS 705 - Locally advanced rectal cancer: T2w-MRI based radiomics may detect responder patients undergoing neoadjuvant chemoradiotherapy

04:50M. Mottola, Bologna / Italy

11
RPS 705 - Deep learning for differentiation of liver cirrhosis aetiology from clinical MRI

RPS 705 - Deep learning for differentiation of liver cirrhosis aetiology from clinical MRI

04:23S. Nowak, Bonn / Germany

12
RPS 705 - Radiomic features disclose the presence of microvascular invasion in hepatocellular carcinoma

RPS 705 - Radiomic features disclose the presence of microvascular invasion in hepatocellular carcinoma

03:58M. Mottola, Bologna / Italy

13
RPS 705 - Influence of different adaptive statistical iterative reconstruction (ASIR-V) levels on computed tomography (CT) radiomic features

RPS 705 - Influence of different adaptive statistical iterative reconstruction (ASIR-V) levels on computed tomography (CT) radiomic features

04:45F. Pucciarelli, Rome / Italy

14
RPS 705 - Revealing the most suitable CT radiomics features for retrospective studies with heterogeneous datasets

RPS 705 - Revealing the most suitable CT radiomics features for retrospective studies with heterogeneous datasets

04:43O. Jimenez-del-Toro, Sierre / Switzerland

15
RPS 705 - Deep learning-based algorithm yields high accuracy for the detection of small renal cell carcinoma on contrast-enhanced CT

RPS 705 - Deep learning-based algorithm yields high accuracy for the detection of small renal cell carcinoma on contrast-enhanced CT

05:47N. Toda, Tokyo / Japan

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