AI in abdominal imaging - ESR Connect

Research Presentation Session

RPS 705 - AI in abdominal imaging

  • 15 Lectures
  • 74 Minutes
  • 14 Speakers

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

Speakers

Presenter

Wan Hang Keith Chiu

Hong Kong, Hong Kong SAR China

Presenter

Andreas Mahnken

Marburg, Germany

Presenter

Francesco Verde

Sant'Antimo, Italy

Presenter

Yunchao Yin

Groningen, Netherlands

Presenter

Francesco Fiz

Genova, Italy

Presenter

Judith Herrmann

Tuebingen, Germany

Presenter

Zi-Fan Chen

Beijing, China

Presenter

Matilde Bariani

Verona, Italy

Presenter

Rahil Shahzad

Cologne, Germany

Presenter

Margherita Mottola

Bologna, Italy

Presenter

Sebastian Nowak

Bonn, Germany

Presenter

Francesco Pucciarelli

Rome, Italy

Presenter

Oscar Jimenez-del-Toro

Sierre, Switzerland

Presenter

Naoki Toda

Tokyo, Japan

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