List of works - Holger R Roth

2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers

article

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation

A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling

scientific article published in November 2016

A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observations ⬇️

scientific article published on 01 January 2014

Abdominal artery segmentation method from CT volumes using fully convolutional neural network

scientific article published on 06 September 2019

An application of cascaded 3D fully convolutional networks for medical image segmentation.

scientific article published on 16 March 2018

Arteriogenesis depends on circulating monocytes and macrophage accumulation and is severely depressed in op/op mice

scientific article published on 09 May 2006

Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

scholarly article by Masashi Misawa et al published June 2018 in Gastroenterology

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

scientific article published on 14 August 2020

Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: Use of artificial intelligence with transfer learning to facilitate multi-site operations

scientific article published on 21 January 2022

Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks

scientific article

Automatic prone to supine haustral fold matching in CT colonography using a Markov random field model

scientific article published on 01 January 2011

Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation

scientific article published on 2018

Automatic segmentation of head anatomical structures from sparsely-annotated images

CT colonography: clinical evaluation of a method for automatic coregistration of polyps at follow-up surveillance studies

scientific article published on 04 July 2014

CT colonography: external clinical validation of an algorithm for computer-assisted prone and supine registration

scientific article

Cardiac fiber tracking on super high-resolution CT images: a comparative study

scientific article published on 11 March 2020

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

scientific article published in 2022

Comparison of the deep-learning-based automated segmentation methods for the head sectioned images of the virtual Korean human project

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images

article

Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model

scientific article published on 14 October 2020

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

scientific article published on 11 February 2016

Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation

scientific article published on 01 June 2020

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images

Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation

scientific article published on 29 December 2020

Endoluminal surface registration for CT colonography using haustral fold matching

scientific article published on 27 April 2013

Establishing spatial correspondence between the inner colon surfaces from prone and supine CT colonography

scientific article published on 01 January 2010

Establishing spatial correspondence for the analysis of images from highly deforming anatomy.

scientific article

Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections

scientific article published on 01 April 2019

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

scientific article published on 12 February 2020

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.

scientific article published on 6 June 2016

Holistic segmentation of the lung in cine MRI.

scientific article published in October 2017

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. ⬇️

scientific article published on 28 September 2015

Micro-CT Guided 3D Reconstruction of Histological Images

Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams

scientific article published on 19 August 2019

Precision Medicine in Pancreatic Disease-Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop

scientific article published on 01 November 2019

Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively

scientific article published on 16 August 2018

Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography.

scientific article published in June 2011

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.

scientific article published in February 2018

Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset

scientific article published on 26 November 2019

TBS: Tensor-Based Supervoxels for Unfolding the Heart

Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT

scientific article published on 16 September 2019

The future of digital health with federated learning

scientific article published on 14 September 2020

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks

Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network

scholarly article by Qier Meng et al published 2017 in Lecture Notes in Computer Science

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

scientific article published on 27 June 2020

Unsupervised pathology image segmentation using representation learning with spherical k-means

scholarly article published 6 March 2018

Unsupervised segmentation of 3D medical images based on clustering and deep representation learning

scholarly article published 12 March 2018

List of works by Holger R Roth

2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation

A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling

A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observations ⬇️

Abdominal artery segmentation method from CT volumes using fully convolutional neural network

An application of cascaded 3D fully convolutional networks for medical image segmentation.

Arteriogenesis depends on circulating monocytes and macrophage accumulation and is severely depressed in op/op mice

Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: Use of artificial intelligence with transfer learning to facilitate multi-site operations

Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks

Automatic prone to supine haustral fold matching in CT colonography using a Markov random field model

Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation

Automatic segmentation of head anatomical structures from sparsely-annotated images

CT colonography: clinical evaluation of a method for automatic coregistration of polyps at follow-up surveillance studies

CT colonography: external clinical validation of an algorithm for computer-assisted prone and supine registration

Cardiac fiber tracking on super high-resolution CT images: a comparative study

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

Comparison of the deep-learning-based automated segmentation methods for the head sectioned images of the virtual Korean human project

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images

Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images

Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation

Endoluminal surface registration for CT colonography using haustral fold matching

Establishing spatial correspondence between the inner colon surfaces from prone and supine CT colonography

Establishing spatial correspondence for the analysis of images from highly deforming anatomy.

Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.

Holistic segmentation of the lung in cine MRI.

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. ⬇️

Micro-CT Guided 3D Reconstruction of Histological Images

Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams

Precision Medicine in Pancreatic Disease-Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop

Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively

Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography.

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.

Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset

TBS: Tensor-Based Supervoxels for Unfolding the Heart

Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT

The future of digital health with federated learning

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks

Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Unsupervised pathology image segmentation using representation learning with spherical k-means

Unsupervised segmentation of 3D medical images based on clustering and deep representation learning