Albarqouni Lab
Albarqouni Lab
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Robust Federated Learning Methodology for Automatic Chest X-Ray Diagnosis
Carlos Fernández Del Cerro
,
Mónica Abella
,
Manuel Desco
,
Shadi Albarqouni
Cite
Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching
Obtaining large pre-trained models that can be fine-tuned to new tasks with limited annotated samples has remained an open challenge …
Duy MH Nguyen
,
Hoang Nguyen
,
Nghiem Diep
,
Tan Ngoc Pham
,
Tri Cao
,
Binh Nguyen
,
Paul Swoboda
,
Nhat Ho
,
Shadi Albarqouni
,
Pengtao Xie
,
others
PDF
Cite
Code
Project
Project
Enhancing oncological care: A guide to setting up a new multidisciplinary cancer cachexia clinic within a tertiary centre
Hyun Soo Ko
,
Linda Denehy
,
Lara Edbrooke
,
Shadi Albarqouni
,
Ulrike Attenberger
,
Benjamin L Parker
,
Andrew Cox
,
Brian Le
,
Louise Cheng
Cite
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference
Shadi Albarqouni
,
Christian Baumgartner
,
Qi Dou
,
Ender Konukoglu
,
Bjoern Menze
,
Archana Venkataraman
Cite
LYSTO: The lymphocyte assessment hackathon and benchmark dataset
Yiping Jiao
,
Jeroen van der Laak
,
Shadi Albarqouni
,
Zhang Li
,
Tao Tan
,
Abhir Bhalerao
,
Shenghua Cheng
,
Jiabo Ma
,
Johnathan Pocock
,
Josien PW Pluim
,
others
Cite
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models
Federated Learning (FL) could solve the challenges of training AI models on large datasets for medical imaging due to data privacy and …
Holger R Roth
,
Nicola Rieke
,
Shadi Albarqouni
,
Quanzheng Li
PDF
Cite
Project
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir
,
Aasa Feragen
,
Abdul Joseph Fofanah
,
Alejandro F Frangi
,
Alena Buyx
,
Anais Emelie
,
Andrea Lara
,
Antonio R Porras
,
An-Wen Chan
,
Arcadi Navarro
,
others
Cite
Digital staining of white blood cells with confidence estimation
Chemical staining of the blood smears is one of the crucial components of blood analysis. It is an expensive, lengthy and sensitive …
Agnieszka Tomczak
,
Slobodan Ilic
,
Gaby Marquardt
,
Thomas Engel
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Project
Project
Federated disentangled representation learning for unsupervised brain anomaly detection
With the advent of deep learning and increasing use of brain MRIs, a great amount of interest has arisen in automated anomaly …
Cosmin I. Bercea
,
Benedikt Wiestler
,
Daniel Rueckert
,
Shadi Albarqouni
Cite
DOI
URL
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Federated Learning (FL) is a novel approach enabling several clients holding sensitive data to collaboratively train machine learning …
Jean Ogier du Terrail
,
Samy-Safwan Ayed
,
Edwige Cyffers
,
Felix Grimberg
,
Chaoyang He
,
Regis Loeb
,
Paul Mangold
,
Tanguy Marchand
,
Othmane Marfoq
,
Erum Mushtaq
,
Shadi Albarqouni
,
others
PDF
Cite
Code
Project
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
Collecting large-scale medical datasets with fully annotated samples for training of deep networks is prohibitively expensive, …
Duy MH Nguyen
,
Hoang Nguyen
,
Mai TN Truong
,
Tri Cao
,
Binh T Nguyen
,
Nhat Ho
,
Paul Swoboda
,
Shadi Albarqouni
,
Pengtao Xie
,
Daniel Sonntag
PDF
Cite
Federated disentangled representation learning for unsupervised brain anomaly detection
With the advent of deep learning and increasing use of brain MRIs, a great amount of interest has arisen in automated anomaly …
Cosmin I. Bercea
,
Benedikt Wiestler
,
Daniel Rueckert
,
Shadi Albarqouni
PDF
Cite
Project
DOI
URL
What can we learn about a generated image corrupting its latent representation?
Generative adversarial networks (GANs) offer an effective solution to the image-to-image translation problem, thereby allowing for new …
Agnieszka Tomczak
,
Aarushi Gupta
,
Slobodan Ilic
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
Raheleh Salehi
,
Ario Sadafi
,
Armin Gruber
,
Peter Lienemann
,
Nassir Navab
,
Shadi Albarqouni
,
Carsten Marr
Cite
TriMix: Virtual embeddings and self-consistency for self-supervised learning
Tariq Bdair
,
Hossam Abdelhamid
,
Nassir Navab
,
Shadi Albarqouni
Cite
Transformer based models for unsupervised anomaly segmentation in brain MR images
Ahmed Ghorbel
,
Ahmed Aldahdooh
,
Shadi Albarqouni
,
Wassim Hamidouche
Cite
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
Tariq Bdair
,
Nassir Navab
,
Shadi Albarqouni
Cite
URL
ROAM: Random layer mixup for semi-supervised learning in medical images
Tariq Bdair
,
Benedikt Wiestler
,
Nassir Navab
,
Shadi Albarqouni
Cite
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker
,
Annette Peters
,
Christopher L Schlett
,
Fabian Bamberg
,
Fabian Theis
,
Daniel Rueckert
,
Jakob Weiß
,
Shadi Albarqouni
Cite
Anomaly-aware multiple instance learning for rare anemia disorder classification
Salome Kazeminia
,
Ario Sadafi
,
Asya Makhro
,
Anna Bogdanova
,
Shadi Albarqouni
,
Carsten Marr
Cite
The OOD Blind Spot of Unsupervised Anomaly Detection
Matthäus Heer
,
Janis Postels
,
Xiaoran Chen
,
Ender Konukoglu
,
Shadi Albarqouni
Cite
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati
,
Ujjwal Baid
,
Maximilian Zenk
,
Brandon Edwards
,
Micah Sheller
,
G Anthony Reina
,
Patrick Foley
,
Alexey Gruzdev
,
Jason Martin
,
Shadi Albarqouni
,
others
Cite
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
Ario Sadafi
,
Asya Makhro
,
Leonid Livshits
,
Nassir Navab
,
Anna Bogdanova
,
Shadi Albarqouni
,
Carsten Marr
Cite
Project
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
Ahmed Ayyad
,
Yuchen Li
,
Raden Muaz
,
Shadi Albarqouni
,
Mohamed Elhoseiny
Cite
Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI
Christoph Baur
,
Benedikt Wiestler
,
Mark Muehlau
,
Claus Zimmer
,
Nassir Navab
,
Shadi Albarqouni
Cite
Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations
Mhd Hasan Sarhan
,
Shadi Albarqouni
,
Mehmet Yigitsoy
,
Nassir Navab
,
Eslami Abouzar
Cite
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias
Ario Sadafi
,
Lucı́a Mar\á Moya Sans
,
Asya Makhro
,
Leonid Livshits
,
Nassir Navab
,
Anna Bogdanova
,
Shadi Albarqouni
,
Carsten Marr
Cite
Project
FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification
Skin cancer is one of the most deadly cancers worldwide. Yet, it can be reduced by early detection. Recent deep-learning methods have …
Tariq Bdair
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Project
Federated Disentangled Representation Learning for Unsupervised Brain Anomaly Detection
Recent advances in Deep Learning (DL) and the increased use of brain MRI have provided a great opportunity and interest in automated …
Cosmin Bercea
,
Benedikt Wiestler
,
Daniel Rueckert
,
Shadi Albarqouni
Cite
Project
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation
Cosmin I Bercea
,
Benedikt Wiestler
,
Daniel Rueckert
,
Shadi Albarqouni
Cite
Eine computergestützte automatische Polypencharakterisierung von Hyperplasten, Adenomen und Serratierten Adenomen im Kolorektum-Ergebnisse der CASSANDRA Studie
AM Zvereva
,
RD Soberanis-Mukul
,
B Haller
,
B Walter
,
T Rath
,
A Poszler
,
S Albarqouni
,
M Alguineedy
,
N Navab
,
RM Schmid
,
others
Cite
Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation
Tetiana Klymenko
,
Seong Tae Kim
,
Kirsten Lauber
,
Christopher Kurz
,
Guillaume Landry
,
Nassir Navab
,
Shadi Albarqouni
Cite
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Christoph Baur
,
Stefan Denner
,
Benedikt Wiestler
,
Nassir Navab
,
Shadi Albarqouni
Cite
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Deep unsupervised representation learning has recently led to new approaches in the field of Unsupervised Anomaly Detection (UAD) in …
Christoph Baur
,
Stefan Denner
,
Benedikt Wiestler
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Code
Project
Multi-task multi-domain learning for digital staining and classification of leukocytes
oking stained images preserving the inter-cellular structures, crucial for the medical experts to perform classification. We achieve …
Agnieszka Tomczak
,
Slobodan Ilic
,
Gaby Marquardt
,
Thomas Engel
,
Frank Forster
,
Nassir Navab
,
Shadi Albarqouni
PDF
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Project
Project
Ascertaining the Pose of an X-Ray Unit Relative to an Object on the Basis of a Digital Model of the Object
Shadi Albarqouni
,
Linda Mai Bui
,
Michael Schrapp
,
Slobodan Ilic
Cite
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation
Organ segmentation in CT volumes is an important pre-processing step in many computer assisted intervention and diagnosis methods. In …
Roger D Soberanis-Mukul
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Project
Project
Project
Determining a Pose of an Object in the Surroundings of the Object by Means of Multi-Task Learning
Sergey Zakharov
,
Shadi Albarqouni
,
Linda Mai Bui
,
Slobodan Ilic
Cite
The Future of Digital Health with Federated Learning
Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, …
Nicola Rieke
,
Jonny Hancox
,
Wenqi Li
,
Fausto Milletari
,
Holger Roth
,
Shadi Albarqouni
,
Spyridon Bakas
,
Mathieu N Galtier
,
Bennett Landman
,
Klaus Maier-Hein
,
others
PDF
Cite
Project
Fairness by Learning Orthogonal Disentangled Representations
Learning discriminative powerful representations is a crucial step for machine learning systems. Introducing invariance against …
Mhd Hasan Sarhan
,
Nassir Navab
,
Abouzar Eslami
,
Shadi Albarqouni
PDF
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Project
Project
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
We present a multimodal camera relocalization framework that captures ambiguities and uncertainties with continuous mixture models …
Mai Bui
,
Tolga Birdal
,
Haowen Deng
,
Shadi Albarqouni
,
Leonidas Guibas
,
Slobodan Ilic
,
Nassir Navab
PDF
Cite
Project
Project
Uncertainty-based graph convolutional networks for organ segmentation refinement
Organ segmentation is an important pre-processing step in many computer assisted intervention and diagnosis methods. In recent years, …
Roger D Soberanis-Mukul
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Project
Project
Project
Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency
Stain virtualization is an application with growing interest in digital pathology allowing simulation of stained tissue images thus …
Amal Lahiani
,
Irina Klaman
,
Nassir Navab
,
Shadi Albarqouni
,
Eldad Klaiman
PDF
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Project
Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting
Maxime Kayser
,
Roger D Soberanis-Mukul
,
Anna-Maria Zvereva
,
Peter Klare
,
Nassir Navab
,
Shadi Albarqouni
Cite
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI
Christoph Baur
,
Robert Graf
,
Benedikt Wiestler
,
Shadi Albarqouni
,
Nassir Navab
Cite
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
Christoph Baur
,
Benedikt Wiestler
,
Shadi Albarqouni
,
Nassir Navab
Cite
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging
Tariq Bdair
,
Nassir Navab
,
Shadi Albarqouni
Cite
Retinal Layer Segmentation Reformulated as OCT Language Processing
Arianne Tran
,
Jakob Weiss
,
Shadi Albarqouni
,
Shahrooz Faghi Roohi
,
Nassir Navab
Cite
Precise proximal femur fracture classification for interactive training and surgical planning.
Amelia Jiménez-Sánchez
,
Anees Kazi
,
Shadi Albarqouni
,
Chlodwig Kirchhoff
,
Peter Biberthaler
,
Nassir Navab
,
Sonja Kirchhoff
,
Diana Mateus
Cite
Polyp-artifact relationship analysis using graph inductive learned representations
Roger D Soberanis-Mukul
,
Shadi Albarqouni
,
Nassir Navab
Cite
On the Fairness of Privacy-Preserving Representations in Medical Applications
Mhd Hasan Sarhan
,
Nassir Navab
,
Abouzar Eslami
,
Shadi Albarqouni
Cite
Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography
Nadav Shapira
,
Julia Fokuhl
,
Manuel Schultheiß
,
Stefanie Beck
,
Felix K Kopp
,
Daniela Pfeiffer
,
Julia Dangelmaier
,
Gregor Pahn
,
Andreas P Sauter
,
Bernhard Renger
,
others
PDF
Cite
Project
Inverse Distance Aggregation for Federated Learning with Non-IID Data
Yousef Yeganeh
,
Azade Farshad
,
Nassir Navab
,
Shadi Albarqouni
Cite
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
Chest X-ray radiography is one of the earliest medical imaging technologies and remains one of the most widely-used for diagnosis, …
Mohammad Eslami
,
Solale Tabarestani
,
Shadi Albarqouni
,
Ehsan Adeli
,
Nassir Navab
,
Malek Adjouadi
PDF
Cite
Project
GANs for medical image analysis
Salome Kazeminia
,
Christoph Baur
,
Arjan Kuijper
,
Bram van Ginneken
,
Nassir Navab
,
Shadi Albarqouni
,
Anirban Mukhopadhyay
Cite
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
Shadi Albarqouni
,
Spyridon Bakas
,
Konstantinos Kamnitsas
Cite
Benefit of dual energy CT for lesion localization and classification with convolutional neural networks
Dual Energy CT is a modern imaging technique that is utilized in clinical practice to acquire spectral information for various …
Nadav Shapira
,
Julia Fokuhl
,
Manuel Schultheiß
,
Stefanie Beck
,
Felix K Kopp
,
Daniela Pfeiffer
,
Julia Dangelmaier
,
Gregor Pahn
,
Andreas P Sauter
,
Bernhard Renger
,
others
PDF
Cite
Project
Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri
Christoph Baur
,
Benedikt Wiestler
,
Shadi Albarqouni
,
Nassir Navab
Cite
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders
Ario Sadafi
,
Asya Makhro
,
Anna Bogdanova
,
Nassir Navab
,
Tingying Peng
,
Shadi Albarqouni
,
Carsten Marr
Cite
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation
Roger David Soberanis Mukul
,
Nassir Navab
,
Shadi Albarqouni
Cite
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using …
Sharib Ali
,
Felix Zhou
,
Barbara Braden
,
Adam Bailey
,
Suhui Yang
,
Guanju Cheng
,
Pengyi Zhang
,
Xiaoqiong Li
,
Maxime Kayser
,
Roger D Soberanis-Mukul
,
others
PDF
Cite
Project
A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks
Colorectal polyps are abnormalities in the colon tissue that can develop into colorectal cancer. The survival rate for patients is …
Roger D Soberanis-Mukul
,
Maxime Kayser
,
Anna-Maria Zvereva
,
Peter Klare
,
Nassir Navab
,
Shadi Albarqouni
Cite
Code
Project
Method for determining a pose of an object in an environment of the object using multi task learning and control device
Mai Bui
,
Sergey Zakharov
,
Shadi Albarqouni
,
Slobodan Ilic
Cite
Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach
Histopathological evaluation of tissue samples is a key practice in patient diagnosis and drug development, especially in oncology. …
Amal Lahiani
,
Jacob Gildenblat
,
Irina Klaman
,
Shadi Albarqouni
,
Nassir Navab
,
Eldad Klaiman
PDF
Cite
Project
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification
We demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and …
Amelia Jiménez-Sánchez
,
Anees Kazi
,
Shadi Albarqouni
,
Chlodwig Kirchhoff
,
Peter Biberthaler
,
Nassir Navab
,
Diana Mateus
,
Sonja Kirchhoff
PDF
Cite
Project
Staingan: Stain style transfer for digital histological images
Digitized Histological diagnosis is in increasing demand. However, color variations due to various factors are imposing obstacles to …
M Tarek Shaban
,
Christoph Baur
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Code
Project
Project
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
Recent progress has shown that few-shot learning can be improved with access to unlabelled data, known as semi-supervised few-shot …
Ahmed Ayyad
,
Nassir Navab
,
Mohamed Elhoseiny
,
Shadi Albarqouni
PDF
Cite
Code
Project
Project
Semi-Supervised Few-Shot Learning with Local and Global Consistency
Ahmed Ayyad1 Nassir Navab
,
Mohamed Elhoseiny
,
Shadi Albarqouni
Cite
Self-attention equipped graph convolutions for disease prediction
Multi-modal data comprising imaging (MRI, fMRI, PET, etc.) and non-imaging (clinical test, demographics, etc.) data can be collected …
Anees Kazi
,
Shayan Shekarforoush
,
Karsten Kortuem
,
Shadi Albarqouni
,
Nassir Navab
,
others
PDF
Cite
Project
Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system
Sai Gokul Hariharan
,
Christian Kaethner
,
Norbert Strobel
,
Markus Kowarschik
,
Julie DiNitto
,
Shadi Albarqouni
,
Rebecca Fahrig
,
Nassir Navab
Cite
Project
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer
Style transfer is a field with growing interest and use cases in deep learning. Recent work has shown Generative Adversarial …
Amal Lahiani
,
Nassir Navab
,
Shadi Albarqouni
,
Eldad Klaiman
PDF
Cite
Project
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss
Deep learning techniques are recently being used in fundus image analysis and diabetic retinopathy detection. Microaneurysms are an …
Mhd Hasan Sarhan
,
Shadi Albarqouni
,
Mehmet Yigitsoy
,
Nassir Navab
,
Abouzar Eslami
PDF
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Project
Project
MRI to CT Translation with GANs
Bodo Kaiser
,
Shadi Albarqouni
Cite
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting: First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Hongen Liao
,
Simone Balocco
,
Guijin Wang
,
Feng Zhang
,
Yongpan Liu
,
Zijian Ding
,
Luc Duong
,
Renzo Phellan
,
Guillaume Zahnd
,
Katharina Breininger
,
others
Cite
Learning-based x-ray image denoising utilizing model-based image simulations
Sai Gokul Hariharan
,
Christian Kaethner
,
Norbert Strobel
,
Markus Kowarschik
,
Shadi Albarqouni
,
Rebecca Fahrig
,
Nassir Navab
Cite
Project
Learning Interpretable Features via Adversarially Robust Optimization
Neural networks are proven to be remarkably successful for classification and diagnosis in medical applications. However, the ambiguity …
Ashkan Khakzar
,
Shadi Albarqouni
,
Nassir Navab
PDF
Cite
Project
Project
Learning interpretable disentangled representations using adversarial vaes
Learning Interpretable representation in medical applications is becoming essential for adopting data-driven models into clinical …
Mhd Hasan Sarhan
,
Abouzar Eslami
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Project
Project
Learn to Segment Organs with a Few Bounding Boxes
Semantic segmentation is an import task in the medical field to identify the exact extent and orientation of significant structures …
Abhijeet Parida
,
Arianne Tran
,
Nassir Navab
,
Shadi Albarqouni
PDF
Cite
Project
Learn to estimate labels uncertainty for quality assurance
Agnieszka Tomczack
,
Nassir Navab
,
Shadi Albarqouni
Cite
Project
Investigation of Focal Loss in Deep Learning Models For Femur Fractures Classification
Mayar Lotfy
,
Raed M Shubair
,
Nassir Navab
,
Shadi Albarqouni
Cite
InceptionGCN: receptive field aware graph convolutional network for disease prediction
Geometric deep learning provides a principled and versatile manner for the integration of imaging and non-imaging modalities in the …
Anees Kazi
,
Shayan Shekarforoush
,
S Arvind Krishna
,
Hendrik Burwinkel
,
Gerome Vivar
,
Karsten Kortüm
,
Seyed-Ahmad Ahmadi
,
Shadi Albarqouni
,
Nassir Navab
PDF
Cite
Project
Graph Convolution Based Attention Model for Personalized Disease Prediction
Clinicians implicitly incorporate the complementarity of multi-modal data for disease diagnosis. Often a varied order of importance for …
Anees Kazi
,
Shayan Shekarforoush
,
S Arvind Krishna
,
Hendrik Burwinkel
,
Gerome Vivar
,
Benedict Wiestler
,
Karsten Kortüm
,
Seyed-Ahmad Ahmadi
,
Shadi Albarqouni
,
Nassir Navab
PDF
Cite
Project
Fusing unsupervised and supervised deep learning for white matter lesion segmentation
Unsupervised Deep Learning for Medical Image Analysis is increasingly gaining attention, since it relieves from the need for annotating …
Christoph Baur
,
Benedikt Wiestler
,
Shadi Albarqouni
,
Nassir Navab
PDF
Cite
Project
Focal loss for artefact detection in medical endoscopy
Maxime Kayser
,
Roger D Soberanis-Mukul
,
Shadi Albarqouni
,
Nassir Navab
Cite
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Qian Wang
,
Fausto Milletari
,
Hien V Nguyen
,
Shadi Albarqouni
,
M Jorge Cardoso
,
Nicola Rieke
,
Ziyue Xu
,
Konstantinos Kamnitsas
,
Vishal Patel
,
Badri Roysam
,
others
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Adversarial Networks for Camera Pose Regression and Refinement
Despite recent advances on the topic of direct camera pose regression using neural networks, accurately estimating the camera pose of a …
Mai Bui
,
Christoph Baur
,
Nassir Navab
,
Slobodan Ilic
,
Shadi Albarqouni
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Adaptive image-feature learning for disease classification using inductive graph networks
Recently, Geometric Deep Learning (GDL) has been introduced as a novel and versatile framework for computer-aided disease …
Hendrik Burwinkel
,
Anees Kazi
,
Gerome Vivar
,
Shadi Albarqouni
,
Guillaume Zahnd
,
Nassir Navab
,
Seyed-Ahmad Ahmadi
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Project
Determination of the pose of an x-ray unit relative to an object using a digital model of the object
Shadi Albarqouni
,
Mai Bui
,
Slobodan Ilic
,
Michael Schrapp
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X-ray Depthmaps: Revealing the Hidden Structures
Stefanie Demirci
,
Shadi Albarqouni
,
Javad Fotouhi
,
Nassir Navab
,
Reza Ghotbi
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When regression meets manifold learning for object recognition and pose estimation
In this work, we propose a method for object recognition and pose estimation from depth images using convolutional neural networks. …
Mai Bui
,
Sergey Zakharov
,
Shadi Albarqouni
,
Slobodan Ilic
,
Nassir Navab
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Project
Weakly-supervised localization and classification of proximal femur fractures
Amelia Jiménez-Sánchez
,
Anees Kazi
,
Shadi Albarqouni
,
Sonja Kirchhoff
,
Alexandra Sträter
,
Peter Biberthaler
,
Diana Mateus
,
Nassir Navab
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Project
Scene coordinate and correspondence learning for image-based localization
Scene coordinate regression has become an essential part of current camera re-localization methods. Different versions, such as …
Mai Bui
,
Shadi Albarqouni
,
Slobodan Ilic
,
Nassir Navab
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Project
Multiple device segmentation for fluoroscopic imaging using multi-task learning
Katharina Breininger
,
Tobias Würfl
,
Tanja Kurzendorfer
,
Shadi Albarqouni
,
Marcus Pfister
,
Markus Kowarschik
,
Nassir Navab
,
Andreas Maier
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LABELS 2018 Preface
Raphael Sznitman
,
Veronika Cheplygina
,
Diana Mateus
,
Lena Maier-Hein
,
Eric Granger
,
Pierre Jannin
,
Emanuele Trucco
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Intravascular Imaging and Computer Assisted Stenting and Large-scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Danail Stoyanov
,
Zeike Taylor
,
Simone Balocco
,
Raphael Sznitman
,
Anne Martel
,
Lena Maier-Hein
,
Luc Duong
,
Guillaume Zahnd
,
Stefanie Demirci
,
Shadi Albarqouni
,
others
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Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair
Katharina Breininger
,
Shadi Albarqouni
,
Tanja Kurzendorfer
,
Marcus Pfister
,
Markus Kowarschik
,
Andreas Maier
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Generating highly realistic images of skin lesions with GANs
As many other machine learning driven medical image analysis tasks, skin image analysis suffers from a chronic lack of labeled data and …
Christoph Baur
,
Shadi Albarqouni
,
Nassir Navab
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Generalizing multistain immunohistochemistry tissue segmentation using one-shot color deconvolution deep neural networks
Amal Lahiani
,
Jacob Gildenblat
,
Irina Klaman
,
Nassir Navab
,
Eldad Klaiman
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Project
GANs for medical image analysis
Salome Kazeminia
,
Christoph Baur
,
Arjan Kuijper
,
Bram van Ginneken
,
Nassir Navab
,
Shadi Albarqouni
,
Anirban Mukhopadhyay
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Fine-Tuning Deep Learning by Crowd Participation
One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited …
Shadi Albarqouni
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Project
Domain and geometry agnostic CNNs for left atrium segmentation in 3D ultrasound
Segmentation of the left atrium and deriving its size can help to predict and detect various cardiovascular conditions. Automation of …
Markus A Degel
,
Nassir Navab
,
Shadi Albarqouni
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Deep learning with synthetic data for free water elimination in diffusion MRI
Miguel Molina-Romero
,
Pedro A Gómez
,
Shadi Albarqouni
,
Jonathan I Sperl
,
Marion I Menzel
,
Bjoern H Menze
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Deep autoencoding models for unsupervised anomaly segmentation in brain MR images
Reliably modeling normality and differentiating abnormal appearances from normal cases is a very appealing approach for detecting …
Christoph Baur
,
Benedikt Wiestler
,
Shadi Albarqouni
,
Nassir Navab
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Capsule networks against medical imaging data challenges
A key component to the success of deep learning is the availability of massive amounts of training data. Building and annotating large …
Amelia Jiménez-Sánchez
,
Shadi Albarqouni
,
Diana Mateus
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Code
Project
A photon recycling approach to the denoising of ultra-low dose X-ray sequences
Sai Gokul Hariharan
,
Norbert Strobel
,
Christian Kaethner
,
Markus Kowarschik
,
Stefanie Demirci
,
Shadi Albarqouni
,
Rebecca Fahrig
,
Nassir Navab
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Project
7th Joint International Workshop, CVII-STENT (Intravascular Imaging and Computer Assisted Stenting) 2018 and Third International Workshop, LABELS (Large-Scale Annotation of Biomedical Data and Expert Label Synthesis) 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Danail Stoyanov
,
Zeike Taylor
,
Simone Balocco
,
Raphael Sznitman
,
Anne Martel
,
Lena Maier-Hein
,
Luc Duong
,
Guillaume Zahnd
,
Stefanie Demirci
,
Shadi Albarqouni
,
others
Cite
X-Ray PoseNet: 6 DoF pose estimation for mobile X-Ray devices
Precise reconstruction of 3D volumes from X-ray projections requires precisely pre-calibrated systems where accurate knowledge of the …
Mai Bui
,
Shadi Albarqouni
,
Michael Schrapp
,
Nassir Navab
,
Slobodan Ilic
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X-ray in-depth decomposition: Revealing the latent structures
X-ray is the most readily available imaging modality and has a broad range of applications that spans from diagnosis to intra-operative …
Shadi Albarqouni
,
Javad Fotouhi
,
Nassir Navab
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Project
Semi-supervised deep learning for fully convolutional networks
Deep learning usually requires large amounts of labeled training data, but annotating data is costly and tedious. The framework of …
Christoph Baur
,
Shadi Albarqouni
,
Nassir Navab
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Code
Project
Project
Machine Learning for Biomedical Applications: From Crowdsourcing to Deep Learning
Shadi Albarqouni
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Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
M Jorge Cardoso
,
Tal Arbel
,
SL Lee
,
V Cheplygina
,
S Balocco
,
D Mateus
,
G Zahnd
,
L Maier-Hein
,
S Demirci
,
E Granger
,
others
Cite
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Babak Ehteshami Bejnordi
,
Mitko Veta
,
Paul Johannes Van Diest
,
Bram Van Ginneken
,
Nico Karssemeijer
,
Geert Litjens
,
Jeroen AWM Van Der Laak
,
Meyke Hermsen
,
Quirine F Manson
,
Maschenka Balkenhol
,
others
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Automatic classification of proximal femur fractures based on attention models
Anees Kazi
,
Shadi Albarqouni
,
Amelia Jimenez Sanchez
,
Sonja Kirchhoff
,
Peter Biberthaler
,
Nassir Navab
,
Diana Mateus
Cite
Structure-preserving color normalization and sparse stain separation for histological images
Abhishek Vahadane
,
Tingying Peng
,
Amit Sethi
,
Shadi Albarqouni
,
Lichao Wang
,
Maximilian Baust
,
Katja Steiger
,
Anna Melissa Schlitter
,
Irene Esposito
,
Nassir Navab
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Single-view X-ray depth recovery: toward a novel concept for image-guided interventions
Shadi Albarqouni
,
Ulrich Konrad
,
Lichao Wang
,
Nassir Navab
,
Stefanie Demirci
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Project
Playsourcing: a novel concept for knowledge creation in biomedical research
Shadi Albarqouni
,
Stefan Matl
,
Maximilian Baust
,
Nassir Navab
,
Stefanie Demirci
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Project
Video
Parsing human skeletons in an operating room
Vasileios Belagiannis
,
Xinchao Wang
,
Horesh Beny Ben Shitrit
,
Kiyoshi Hashimoto
,
Ralf Stauder
,
Yoshimitsu Aoki
,
Michael Kranzfelder
,
Armin Schneider
,
Pascal Fua
,
Slobodan Ilic
,
others
Cite
Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
Gustavo Carneiro
,
Diana Mateus
,
Loı̈c Peter
,
Andrew Bradley
,
João Manuel RS Tavares
,
Vasileios Belagiannis
,
João Paulo Papa
,
Jacinto C Nascimento
,
Marco Loog
,
Zhi Lu
,
others
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Cathnets: detection and single-view depth prediction of catheter electrodes
Christoph Baur
,
Shadi Albarqouni
,
Stefanie Demirci
,
Nassir Navab
,
Pascal Fallavollita
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Video
Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images
Shadi Albarqouni
,
Christoph Baur
,
Felix Achilles
,
Vasileios Belagiannis
,
Stefanie Demirci
,
Nassir Navab
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Project
Project
Structure-preserved color normalization for histological images
Abhishek Vahadane
,
Tingying Peng
,
Shadi Albarqouni
,
Maximilian Baust
,
Katja Steiger
,
Anna Melissa Schlitter
,
Amit Sethi
,
Irene Esposito
,
Nassir Navab
PDF
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Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data
S Albarqouni
,
M Baust
,
S Conjeti
,
A Al-Amoudi
,
N Navab
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Project
Project
Gradient projection for regularized cryo-electron tomographic reconstruction
Shadi Albarqouni
,
Tobias Lasser
,
Weaam Alkhaldi
,
Ashraf Al-Amoudi
,
Nassir Navab
Cite
Developing MATLAB software for PV and battery sizing for lighting projects in Gaza Strip, Palestine
Mohammed T Hussein
,
Shadi N Albarqouni
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Developing MATLAB software for PV and battery sizing for lighting projects in Gaza Strip, Palestine
Mohammed T Hussein
,
Shadi N Albarqouni
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Study on the Optimum Tilt Angle and Orientation for Photovoltaic Panels and Feasibility Study of One axis-two positions tracking Solar PV in Palestine
Mohammed Hussein
,
Shadi Albarqouni
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Re-evaluation and re-design stand-alone PV solar lighting projects in Gaza Strip, Palestine
Mohammed T Hussein
,
Shadi N Albarqouni
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Re-Evaluation and Re-Design Stand-Alone PV Solar Lighting Projects in Gaza
Shadi N AlBarqouni
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Developing empirical models for estimating global solar radiation in Gaza Strip, Palestine
Mohammed Hussein
,
Shadi Albarqouni
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Steps towards Establishing Telemedicine Center in Palestine
Shadi Albarqouni
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