Tomasz Konopczyński

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All published works
Action Title Year Authors
+ The Liver Tumor Segmentation Benchmark (LiTS) 2022 Patrick Bilic
Patrick Ferdinand Christ
Hongwei Li
Eugene Vorontsov
Avi Ben-Cohen
Georgios Kaissis
Adi Szeskin
Colin Jacobs
Gabriel Efrain Humpire Mamani
Gabriel Chartrand
+ PDF Chat Mask Mining for Improved Liver Lesion Segmentation 2020 Karsten Roth
Jürgen Hesser
Tomasz Konopczyński
+ PDF Chat Plugin Networks for Inference under Partial Evidence 2020 Michal Koperski
Tomasz Konopczyński
Rafał Nowak
Piotr Semberecki
T. P. Trzcinski
+ Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining. 2019 Karsten Roth
Jürgen Hesser
Tomasz Konopczyński
+ Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data. 2019 Tomasz Konopczyński
Jitendra Singh Rathore
Thorben Kröger
Lei Zheng
Christoph S. Garbe
Simone Carmignato
Jürgen Hesser
+ Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning 2019 Tomasz Konopczyński
Thorben Kröger
Lei Zheng
Jürgen Hesser
+ Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function 2019 Karsten Roth
Tomasz Konopczyński
Jürgen Hesser
+ Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans 2019 Tomasz Konopczyński
Danish Rathore
Jitendra Singh Rathore
Thorben Kröger
Lei Zheng
Christoph S. Garbe
Simone Carmignato
Jürgen Hesser
+ Mask Mining for Improved Liver Lesion Segmentation 2019 Karsten Roth
Jürgen Hesser
Tomasz Konopczyński
+ Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning 2019 Tomasz Konopczyński
Thorben Kröger
Lei Zheng
Jürgen Hesser
+ Plugin Networks for Inference under Partial Evidence 2019 Michal Koperski
Tomasz Konopczyński
Rafał Nowak
Piotr Semberecki
T. P. Trzcinski
+ Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data 2019 Tomasz Konopczyński
Jitendra Singh Rathore
Thorben Kröger
Lei Zheng
Christoph S. Garbe
Simone Carmignato
Jürgen Hesser
+ The Liver Tumor Segmentation Benchmark (LiTS) 2019 Patrick Bilic
Patrick Ferdinand Christ
Hongwei Li
Eugene Vorontsov
Avi Ben-Cohen
Georgios Kaissis
Adi Szeskin
Colin Jacobs
Gabriel Efrain Humpire Mamani
Gabriel Chartrand
+ Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning. 2018 Tomasz Konopczyński
Thorben Kröger
Lei Zheng
Jürgen Hesser
+ Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. 2018 Tomasz Konopczyński
Danish Rathore
Jitendra Singh Rathore
Thorben Kröger
Lei Zheng
Christoph S. Garbe
Simone Carmignato
Jürgen Hesser
+ PDF Chat Automated multiscale 3D feature learning for vessels segmentation in Thorax CT images 2016 Tomasz Konopczyński
Thorben Kröger
Lei Zheng
Christoph S. Garbe
Jürgen Hesser
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
5
+ PDF Chat Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields 2016 Patrick Ferdinand Christ
Mohamed Ezzeldin A. Elshaer
Florian Ettlinger
Sunil Tatavarty
Marc Bickel
Patrick Bilic
Markus Rempfler
Marco Armbruster
Felix Hofmann
Melvin D’Anastasi
4
+ The Liver Tumor Segmentation Benchmark (LiTS) 2022 Patrick Bilic
Patrick Ferdinand Christ
Hongwei Li
Eugene Vorontsov
Avi Ben-Cohen
Georgios Kaissis
Adi Szeskin
Colin Jacobs
Gabriel Efrain Humpire Mamani
Gabriel Chartrand
3
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
3
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
3
+ PDF Chat MR-based synthetic CT generation using a deep convolutional neural network method 2017 Xiao Han
3
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
3
+ PDF Chat 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 Özgün Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
2
+ PDF Chat The Importance of Skip Connections in Biomedical Image Segmentation 2016 Michal Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
Chris Pal
2
+ nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation 2018 Fabian Isensee
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
Simon Kohl
Jakob Wasserthal
Gregor Koehler
Tobias Norajitra
Sebastian Wirkert
2
+ PDF Chat Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks 2017 Seyed Sadegh Mohseni Salehi
Deniz Erdoğmuş
Ali Gholipour
2
+ Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function 2019 Karsten Roth
Tomasz Konopczyński
Jürgen Hesser
2
+ PDF Chat Liver lesion segmentation informed by joint liver segmentation 2018 Eugene Vorontsov
An Tang
Chris Pal
Samuel Kadoury
2
+ PDF Chat A survey on deep learning in medical image analysis 2017 Geert Litjens
Thijs Kooi
Babak Ehteshami Bejnordi
Arnaud Arindra Adiyoso Setio
Francesco Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
Clara I. Sá‎nchez
1
+ Overcoming Catastrophic Forgetting by Incremental Moment Matching 2017 Sang-Woo Lee
Jin-Hwa Kim
Jae-Hyun Jun
Jung-Woo Ha
Byoung‐Tak Zhang
1
+ Semantic Instance Segmentation via Deep Metric Learning 2017 Alireza Fathi
Zbigniew Wojna
Vivek Rathod
Peng Wang
Hyun Oh Song
Sergio Guadarrama
Kevin Murphy
1
+ Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering 2017 Grzegorz Chlebus
Hans Meine
Jan Hendrik Moltz
Andrea Schenk
1
+ Tversky loss function for image segmentation using 3D fully convolutional deep networks 2017 Seyed Sadegh Mohseni Salehi
Deniz Erdoğmuş
Ali Gholipour
1
+ Learnable pooling with Context Gating for video classification 2017 Antoine Miech
Ivan Laptev
Josef Šivic
1
+ Semantic Instance Segmentation with a Discriminative Loss Function 2017 Bert De Brabandere
Davy Neven
Luc Van Gool
1
+ Fast Scene Understanding for Autonomous Driving. 2017 Davy Neven
Bert De Brabandere
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
1
+ PDF Chat Squeeze-and-Excitation Networks 2018 Jie Hu
Li Shen
Gang Sun
1
+ PDF Chat FiLM: Visual Reasoning with a General Conditioning Layer 2018 Ethan Perez
Florian Strub
Harm de Vries
Vincent Dumoulin
Aaron Courville
1
+ PDF Chat Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images 2018 Hongwei Li
Gongfa Jiang
Jianguo Zhang
Ruixuan Wang
Zhaolei Wang
Wei‐Shi Zheng
Bjoern Menze
1
+ Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation 2018 Mina Rezaei
Haojin Yang
Christoph Meinel
1
+ PDF Chat Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation 2019 Micah Sheller
G. Anthony Reina
Brandon Edwards
Jason Martin
Spyridon Bakas
1
+ Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data. 2019 Tomasz Konopczyński
Jitendra Singh Rathore
Thorben Kröger
Lei Zheng
Christoph S. Garbe
Simone Carmignato
Jürgen Hesser
1
+ Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. 2018 Tomasz Konopczyński
Danish Rathore
Jitendra Singh Rathore
Thorben Kröger
Lei Zheng
Christoph S. Garbe
Simone Carmignato
Jürgen Hesser
1
+ Image Labeling on a Network: Using Social-Network Metadata for Image Classification 2012 Julian McAuley
Jure Leskovec
1
+ Overcoming Catastrophic Forgetting by Incremental Moment Matching 2017 Sang-Woo Lee
Jin-Hwa Kim
Jae-Hyun Jun
Jung-Woo Ha
Byoung‐Tak Zhang
1
+ 3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes 2016 Qi Dou
Hao Chen
Yueming Jin
Lequan Yu
Jing Qin
Pheng‐Ann Heng
1
+ Fully Convolutional Networks for Semantic Segmentation 2016 Jonathan Long
Evan Shelhamer
Trevor Darrell
1
+ PDF Chat Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence 2018 Tianlu Wang
Kota Yamaguchi
Vicente Ordóñez
1
+ PDF Chat Squeeze-and-Excitation Networks 2019 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
1
+ PDF Chat Learning Structured Inference Neural Networks with Label Relations 2016 Hexiang Hu
Guang-Tong Zhou
Zhiwei Deng
Zicheng Liao
Greg Mori
1
+ PDF Chat Recurrent Instance Segmentation 2016 Bernardino Romera‐Paredes
Philip H. S. Torr
1
+ PDF Chat Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC) 2018 Noel Codella
David Gutman
M. Emre Celebi
Brian Helba
Michael A. Marchetti
Stephen W. Dusza
Aadi Kalloo
Konstantinos Liopyris
Nabin K. Mishra
Harald Kittler
1
+ PDF Chat H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes 2018 Xiaomeng Li
Hao Chen
Xiaojuan Qi
Qi Dou
Chi‐Wing Fu
Pheng‐Ann Heng
1
+ Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects 2019 Ben Glocker
R. H. Robinson
Daniel C. Castro
Qi Dou
Ender Konukoğlu
1
+ PDF Chat CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation 2020 Ali Emre Kavur
Naciye Sinem Gezer
Mustafa Barış
Sinem Aslan
Pierre-Henri Conze
Vladimir Groza
Duc Duy Pham
Soumick Chatterjee
Philipp Ernst
Savaş Özkan
1
+ PDF Chat Models Genesis 2020 Zongwei Zhou
Vatsal Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
1
+ PDF Chat Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction 2020 Xi Fang
Pingkun Yan
1
+ PDF Chat Causality matters in medical imaging 2020 Daniel C. Castro
Ian D. Walker
Ben Glocker
1
+ Disentangling Human Error from the Ground Truth in Segmentation of Medical Images 2020 Le Zhang
Ryutaro Tanno
Moucheng Xu
Jin Chen
Joseph Jacob
Olga Ciccarelli
Frederik Barkhof
Daniel C. Alexander
1
+ PDF Chat Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network 2020 Shuxin Wang
Shilei Cao
Zhizhong Chai
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
1
+ BIAS: Transparent reporting of biomedical image analysis challenges 2020 Lena Maier‐Hein
Annika Reinke
Michal Kozubek
Anne L. Martel
Tal Arbel
Matthias Eisenmann
Allan Hanbury
Pierre Jannin
Henning Müller
Sinan Onogur
1
+ PDF Chat The future of digital health with federated learning 2020 Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletarì
Holger R. Roth
Shadi Albarqouni
Spyridon Bakas
Mathieu Galtier
Bennett A. Landman
Klaus H. Maier‐Hein
1
+ PDF Chat nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 2020 Fabian Isensee
Paul F. Jaeger
Simon Kohl
Jens Petersen
Klaus H. Maier‐Hein
1
+ PDF Chat Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT 2020 Ke Yan
Jinzheng Cai
Youjing Zheng
Adam P. Harrison
Dakai Jin
Youbao Tang
Yuxing Tang
Lingyun Huang
Jing Xiao
Le Lü
1
+ Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? 2021 Jun Ma
1