23rd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE
COMPUTING & COMPUTER ASSISTED INTERVENTION
4-8 OCTOBER 2020

AWARDS

HECKTOR Challenge

Names:
Andrei Iantsen, Dimitris Visvikis and Mathieu Hatt.
Title of the work:
"Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images"
Event name:
HECKTOR 2020
Prize:
1st position HECKTOR challenge

Myocardial pathology segmentation combining multi-sequence CMR (MyoPS 2020)

Names of Persons:
Carlos Marin-Isla, Maryam Asadi-Aghbolaghi, Polyxeni Gkontra, Victor M. Campello, Sergio Escalera, Karim Lekadir
Title of the work:
Stacked BCDU-net with semantic CMR synthesis: application to Myocardial Pathology Segmentation challenge
Event name:
MyoPS 2020
Prize:
MyoPS 2020 Best Paper Award
 
Names of Persons:
Shuwei Zhai, Ran Gu, Wenhui Lei, Guotai Wang
Title of the work:
Myocardial Edema and Scar Segmentation using a Coarse-to-Fine Framework with Weighted Ensemble
Event name:
MyoPS 2020
Prize:
Winner of MyoPS 2020 Challenge
 
Names of Persons:
Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia
Title of the work:
EfficientSeg: A Simple but Efficient Solution to Myocardial Pathology Segmentation Challenge
Event name:
MyoPS 2020
Prize:
Honorable Mention
 
Names of Persons:
Yanfei Liu, Maodan Zhang, Qi Zhan, Dongdong Gu, Guocai Liu
Title of the work:
Two-stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance
Event name:
MyoPS 2020
Prize:
Honorable Mention
 
Names of Persons:
Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang
Title of the work:
Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images
Event name:
MyoPS 2020
Prize:
Honorable Mention

DFUC 2020

Team:
Ryo Hachiuma, Hiroki Kajita and Hideo Saito
Title of the work:
Automated diabetic foot ulcers detection
Event name:
Diabetic Foot Ulcers Grand Challenge (DFUC2020)
Prize:
Best award in DFUC2020 Challenge

CDMRI 2020 Workshop

Names of Persons:
Christian Ewert
Title of the work:
Learning Anatomical Segmentation for Tractography from Diffusion MRI
Event name:
CDMRI 2020 Workshop
Prize:
Best CDMRI paper
 
Names of Persons:
H Patrick Taylor
Title of the work:
Longitudinal Parcellation of the Infant Cortex Using Multi-Modal Connectome Harmonics
Event name:
CDMRI 2020 Workshop
Prize:
Best CDMRI oral presentation
 
Names of Persons:
Tiantian Xu
Title of the work:
Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data
Event name:
CDMRI 2020 Workshop
Prize:
Best CDMRI power-pitch

SuperMUDI Challenge

Names of Persons:
Haoyu Lan
Title of the work:
/
Event name:
SuperMUDI Challenge
Prize:
Joint First Price SuperMUDI Challenge
 
Names of Persons:
Kurt Schilling
Title of the work:
/
Event name:
SuperMUDI Challenge
Prize:
Joint First Price SuperMUDI Challenge

Thyroid Nodule Segmentation and Classification in Ultrasound Images (TN-SCUI2020) Challenge

Names of Persons:
Mingyu Wang, Chenglang Yuan, Dasheng Wu, Yinghou Zeng, Shaonan Zhong and Weibao Qiu
Title of the work:
A Simple Cascaded Framework for Automatically Segmenting Thyroid Nodules
Event name:
TN-SCUI2020 Challenge - Segmentation task
Prize:
First Place TN-SCUI2020 Challenge - Segmentation task
 
Names of Persons:
Huai Chen, Shaoli Song, Xiuying Wang, Renzhen Wang, Deyu Meng, and Lisheng Wang
Title of the work:
LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine The Segmentation of Thyroid Nodule in Ultrasound Images
Event name:
TN-SCUI2020 Challenge - Segmentation task
Prize:
Second Place TN-SCUI2020 Challenge - Segmentation task
 
Names of Persons:
Mingyu Wang, Chenglang Yuan, Dasheng Wu, Yinghou Zeng, Shaonan Zhong and Weibao Qiu
Title of the work:
A Simple Cascaded Framework for Automatically Segmenting Thyroid Nodules
Event name:
TN-SCUI2020 Challenge - Segmentation task
Prize:
Third Place TN-SCUI2020 Challenge - Segmentation task
 
Names of Persons:
Zhang Yiwen and Lai Haoran
Title of the work:
Cascade UNet and CH-UNet for thyroid nodule segmentation and benign and malignant classification
Event name:
TN-SCUI2020 Challenge - Classification task
Prize:
First Place TN-SCUI2020 Challenge - Classification task
 
Names of Persons:
Jintao Lu, Xi Ouyang, Tianjiao Liu, and Dinggang Shen
Title of the work:
Identifying Thyroid Nodules in Ultrasound Images through Segmentation-guided Discriminative Localization
Event name:
TN-SCUI2020 Challenge - Classification task
Prize:
Second Place TN-SCUI2020 Challenge - Classification task
 
Names of Persons:
Xueda Shen, Xi Ouyang, Tianjiao Liu, and Dinggang Shen
Title of the work:
Two-stage Attention Network for Integrated Thyroid Nodule Identification
Event name:
TN-SCUI2020 Challenge - Classification task
Prize:
Third Place TN-SCUI2020 Challenge - Classification task

Large Scale Vertebrae Segmentation Challenge (VerSe'20)

Names of Persons:
Christian Payer
Title of the work:
/
Event name:
Large Scale Vertebrae Segmentation Challenge (VerSe'20)
Prize:
1st position VerSe'20 Challenge

EndoVis 2020 SurgVisDom

Names of Persons:
Satoshi Kondo
Title of the work:
Surgical Visual Domain Adaptation
Event name:
SurgVisDom-EndoVis 2020
Prize:
$3000 for 1st position in VR+Clinical to Clinical category
 
Names of Persons:
Emanuele Colleoni, Beatrice Van Amsterdam
Title of the work:
Tool Segmentation towards domain adaptation for surgical action recognition
Event name:
SurgVisDom-EndoVis 2020
Prize:
2000 for Runner-up in VR+Clinical to Clinical category
 
Names of Persons:
Razeen Hussain, Raabid Hussain-Youssef Skandarani, Kibrom Berihu Girum
Title of the work:
VGG-3DConvNet for surgical action recognition
Event name:
SurgVisDom-EndoVis 2020
Prize:
1st position in VR-Only to Clinical category

EndoVis 2020 CATARACTS

Names of Persons:
Michel Hayoz
Title of the work:
/
Event name:
CATARACTS-EndoVis 2020
Prize:
1st place CATARACTS-EndoVis 2020
 
Names of Persons:
Xia Tong
Title of the work:
/
Event name:
CATARACTS-EndoVis 2020
Prize:
2nd place CATARACTS-EndoVis 2020
 
Names of Persons:
Satoshi Kondo
Title of the work:
/
Event name:
CATARACTS-EndoVis 2020
Prize:
3rd place CATARACTS-EndoVis 2020

EndoVis 2020 MISAW

Names of Persons:
Yonghao Long, Qi Dou
Title of the work:
/
Event name:
MISAW-EndoVis 2020
Prize:
1st position of Phase recognition of MISAW sub-challenge
 
Names of Persons:
Yonghao Long, Qi Dou
Title of the work:
/
Event name:
MISAW-EndoVis 2020
Prize:
1st position of Step recognition of MISAW sub-challenge
 
Names of Persons:
Chin-Boon Chng, Wenjun Lin, Jiaqi Zhang, Yaxin Hu, Yan Hu, Liu Jiang Jimmy, Chee-Kong Chui
Title of the work:
/
Event name:
MISAW-EndoVis 2020
Prize:
1st tie position of Activity recognition of MISAW sub-challenge
 
Names of Persons:
Laura Bravo-Sánchez, Paola Ruiz Puentes, Natalia Valderrama, Isabela Hernández, Cristina González, Pablo Arbeláez
Title of the work:
/
Event name:
MISAW-EndoVis 2020
Prize:
1st tie position of Activity recognition of MISAW sub-challenge
 
Names of Persons:
Chin-Boon Chng, Wenjun Lin, Jiaqi Zhang, Yaxin Hu, Yan Hu, Liu Jiang Jimmy, Chee-Kong Chui
Title of the work:
/
Event name:
MISAW-EndoVis 2020
Prize:
1st position of Multi recognition of MISAW sub-challenge

RibFrac Challenge 2020

Names of Persons:
Youjun E, Jiaqi Zhang
Title of the work:
/
Event name:
Rib Fracture Detection Track
Prize:
1st place Rib Fracture Detection Track
 
Names of Persons:
Jianying Liu, Pengfei Liu
Title of the work:
/
Event name:
Rib Fracture Detection Track
Prize:
2nd place Rib Fracture Detection Track
 
Names of Persons:
Zhizhong Chai, Yongjie Xiao, Hao Chen
Title of the work:
/
Event name:
Rib Fracture Detection Track
Prize:
3rd place Rib Fracture Detection Track
 
Names of Persons:
Xiangyi Yan, Hao Tang, Yutong Xiang. Jijia Zan, Qixuan Sun, Junayed Naushad, Xiaohui Xie
Title of the work:
/
Event name:
Rib Fracture Classification Track
Prize:
1st place Rib Fracture Classification Track
 
Names of Persons:
Yongjie Xiao, Zhizhong Chai, Hao Chen
Title of the work:
/
Event name:
Rib Fracture Classification Track
Prize:
2nd place Rib Fracture Classification Track
 
Names of Persons:
Zhipeng Luo, Lixuan Che, Jianye He
Title of the work:
/
Event name:
Rib Fracture Classification Track
Prize:
3rd place Rib Fracture Classification Track

Emidec Challenge

Names of Persons:
J. Ma
Title of the work:
Cascaded Framework for Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Event name:
Emidec challenge
Prize:
1st position for the classification contest
 
Names of Persons:
Y. Zhang
Title of the work:
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Event name:
Emidec challenge
Prize:
1st position for the segmentation contest

Aneurysm Detection And segMentation (ADAM) challenge

Names of Persons:
Michael Baumgartner, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
Title of the work:
Retina U-Net for Aneurysm Detection in MRImages
Event name:
Aneurysm Detection And segMentation (ADAM) challenge
Prize:
1st place ADAM Aneurysm Detection
 
Names of Persons:
Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Xin Yang and YefengZheng
Title of the work:
Automatic Aneurysm Segmentation via 3D-Unet ensemble
Event name:
Aneurysm Detection And segMentation (ADAM) challenge
Prize:
2nd place ADAM Aneurysm Detection
 
Names of Persons:
Jun Ma and Xingle An
Title of the work:
Loss Ensembles for Intracranial Aneurysm Segmentation: An Embarrassingly Simple Method
Event name:
Aneurysm Detection And segMentation (ADAM) challenge
Prize:
3rd place ADAM Aneurysm Detection
 
Names of Persons:
Jun Ma and Xingle An
Title of the work:
Loss Ensembles for Intracranial Aneurysm Segmentation: An Embarrassingly Simple Method
Event name:
Aneurysm Detection And segMentation (ADAM) challenge
Prize:
1st place ADAM Aneurysm Segmentation
 
Names of Persons:
Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Xin Yang and YefengZheng
Title of the work:
Automatic Aneurysm Segmentation via 3D-Unet ensemble
Event name:
Aneurysm Detection And segMentation (ADAM) challenge
Prize:
2nd place ADAM Aneurysm Segmentation
 
Names of Persons:
Riccardo De Feo, Juhana Kaiponen, Jussi Tohka
Title of the work:
Multi-loss CNN ensembles for aneurysm segmentation
Event name:
Aneurysm Detection And segMentation (ADAM) challenge
Prize:
3rd place ADAM Aneurysm Segmentation

BraTS 2020

Names of Persons:
Fabian Isensee et al.
Title of the work:
/
Event name:
BraTS 2020 Segmentation Task
Prize:
Rank 1 for the BraTS 2020 Segmentation Task
 
Names of Persons:
Haozhe Jia et al.
Title of the work:
/
Event name:
BraTS 2020 Segmentation Task
Prize:
Rank 2 (Tie) for the BraTS 2020 Segmentation Task
 
Names of Persons:
Yixin Wang et al.
Title of the work:
/
Event name:
BraTS 2020 Segmentation Task
Prize:
Rank 2 (Tie) for the BraTS 2020 Segmentation Task
 
Names of Persons:
Yading Yuan et al.
Title of the work:
/
Event name:
BraTS 2020 Segmentation Task
Prize:
Rank 3 for the BraTS 2020 Segmentation Task
 
Names of Persons:
Richard McKinley et al.
Title of the work:
/
Event name:
BraTS 2020 Survival Task
Prize:
Rank 1 (Tie) for the BraTS 2020 Survival Task
 
Names of Persons:
Jaime M. Asenjo et al.
Title of the work:
/
Event name:
BraTS 2020 Survival Task
Prize:
Rank 1 (Tie) for the BraTS 2020 Survival Task
 
Names of Persons:
Vikas Bommineni et al.
Title of the work:
/
Event name:
BraTS 2020 Survival Task
Prize:
Rank 2 for the BraTS 2020 Survival Task
 
Names of Persons:
Muhammed J. Ali et al.
Title of the work:
/
Event name:
BraTS 2020 Survival Task
Prize:
Rank 3 for the BraTS 2020 Survival Task
 
Names of Persons:
Richard McKinley et al.
Title of the work:
/
Event name:
BraTS 2020 Uncertainty Task
Prize:
Rank 1 for the BraTS 2020 Uncertainty Task
 
Names of Persons:
Minh H. Vu et al.
Title of the work:
/
Event name:
BraTS 2020 Uncertainty Task
Prize:
Rank 2 (Tie) for the BraTS 2020 Uncertainty Task
 
Names of Persons:
Chengliang Dai et al.
Title of the work:
/
Event name:
BraTS 2020 Uncertainty Task
Prize:
Rank 2 (Tie) for the BraTS 2020 Uncertainty Task
 
Names of Persons:
Jay Patel et al.
Title of the work:
/
Event name:
BraTS 2020 Uncertainty Task
Prize:
Rank 3 for the BraTS 2020 Uncertainty Task

MOOD Challenge

Names of Persons:
Jeremy Tan et al.
Title of the work:
/
Event name:
MOOD - Sample-Level Task
Prize:
Rank 1 for MOOD - Sample-Level Task
 
Names of Persons:
Sergio Naval et al.
Title of the work:
/
Event name:
MOOD - Sample-Level Task
Prize:
Rank 2 for MOOD - Sample-Level Task
 
Names of Persons:
Antanas Kascenas et al.
Title of the work:
/
Event name:
MOOD - Sample-Level Task
Prize:
Rank 3 for MOOD - Sample-Level Task
 
Names of Persons:
Jeremy Tan et al.
Title of the work:
/
Event name:
MOOD - Pixel-Level Task
Prize:
Rank 1 for MOOD - Pixel-Level Task
 
Names of Persons:
Antanas Kascenas et al.
Title of the work:
/
Event name:
MOOD - Pixel-Level Task
Prize:
Rank 2 for MOOD - Pixel-Level Task
 
Names of Persons:
Nina Tuluptceva et al.
Title of the work:
/
Event name:
MOOD - Pixel-Level Task
Prize:
Rank 3 for MOOD - Pixel-Level Task
 
Names of Persons:
Sergio Naval et al.
Title of the work:
/
Event name:
MOOD - Pixel-Level Task
Prize:
Rank 3 for MOOD - Pixel-Level Task

PANDA Challenge

Names of Persons:
Yusuke Fujimoto, Kentaro Yoshioka
Title of the work:
Gleason grading of biopsies with simple label noise reduction technique
Event name:
PANDA challenge
Prize:
1st position PANDA challenge
 
Names of Persons:
Wenyuan Li
Title of the work:
Gleason grading of biopsies with simple label noise reduction technique
Event name:
PANDA challenge
Prize:
Presentation award runner-up
 
Names of Persons:
Hiroshi Yoshihara
Title of the work:
Gleason grading of biopsies using an attention-based multi-resolution model ensembled with LGBM and XGBoost
Event name:
PANDA challenge
Prize:
Best presentation award
 
Names of Persons:
Shujun He, Sejun Song, and Sun Qing
Title of the work:
Prostate cancer grade assessment of whole-slide images using, tile segmentation, self-attention, and multi-tasking learning
Event name:
PANDA challenge
Prize:
PANDA challenge, innovation award runner-up
 
Names of Persons:
Maxim Shugaev
Title of the work:
Concatenate tile pooling approach for end-to-end Gleason grading of biopsies
Event name:
PANDA challenge
Prize:
Innovation award
 
Names of Persons:
Raphael Kiminya
Title of the work:
5th place approach
Event name:
PANDA challenge
Prize:
Generalization award runner-up
 
Names of Persons:
Noriaki Ota, Shinsuke Yamaoka
Title of the work:
4th place solution
Event name:
PANDA challenge
Prize:
Generalization award

ABCs Challenge

Names of Persons:
Munan Ning
Title of the work:
/
Event name:
ABCs Challenge
Prize:
1st place ABCs Challenge
 
Names of Persons:
Wenhui Lei
Title of the work:
/
Event name:
ABCs Challenge
Prize:
2nd place ABCs Challenge
 
Names of Persons:
Huai Chen, Shanghai Jiao, Xiaoyang Zou
Title of the work:
/
Event name:
ABCs Challenge
Prize:
3rd place ABCs Challenge

M&Ms Challenge

Names of Persons:
Peter M. Full
Title of the work:
The Effect of Data Augmentation on Robustness against Domain Shifts in cMRI segmentation
Event name:
M&Ms Challenge
Prize:
1st position M&Ms Challenge
 
Names of Persons:
Yao Zhang
Title of the work:
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer
Event name:
M&Ms Challenge
Prize:
2nd position M&Ms Challenge
 
Names of Persons:
Jun Ma
Title of the work:
Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation
Event name:
M&Ms Challenge
Prize:
3rd position M&Ms Challenge

The MICCAI Hackathon

Team:
Jun Ma and Jianan Chen
Title of the work:
MICCAI Reproducibility Checklists
Event name:
MICCAI Hackathon
Prize:
Best contribution award

L2R Challenge

Names of Persons:
Niklas Gunnarsson, Jens Sjölund, and Thomas B. Schön
Title of the work:
Learning a deformable registration pyramid
Event name:
Learn2Reg - The Challenge
Prize:
Runner-up Award
 
Names of Persons:
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, and Eric Deutsch
Title of the work:
Deep learning based registration using spatial gradients and noisy segmentation labels
Event name:
Learn2Reg - The Challenge
Prize:
Runner-up Award
 
Names of Persons:
Tony C. W. Mok, and Albert C. S. Chung
Title of the work:
Large Deformation Image Registration with Anatomy-aware Laplacian Pyramid Networks
Event name:
Learn2Reg - The Challenge
Prize:
Overall Winner Award

MLMI 2020

Best Paper Awards:

  1. Maximilian Hornung, Oliver Taubmann, Hendrik Ditt, Björn Menze, Pawel Herman, Erik Fransén,
    "Detection of Ischemic Infarct Core in Non-Contrast Computed Tomography"
  2. Marek Wodzinski and Henning Müller,
    "Unsupervised Learning-based Nonrigid Registration of High Resolution Histology Images"

CBM 2020

Best Paper Award: Saima Safdar, "Automatic Framework for Patient-Specific Biomechanical Computations of Organ Deformation"

MLCN 2020

Best Paper Award: Naresh Nandakumar, "A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity"

PIPPI 2020

Best Paper Award: Junshen Xu, "3D Fetal Pose Estimation with Adaptive Variance"

CLIP 2020

Best Paper Award: Florian Karner, Christina Gsaxner, Antonio Pepe, Jianning Li, Philipp Fleck, Clemens Arth, Jürgen Wallner, Jan Egger, "Single Shot Deep Volumetric Regression for Mobile Medical Augmented Reality"

UNSURE 2020

Best Paper Award: Max-Heinrich Laves, Malte Tölle, Tobias Ortmaier, "Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior"

Runner-Up: Mark S Graham, Carole H. Sudre, Thomas Varsavsky , Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso, "Hierarchical Brain Parcellation with Uncertainty"

SASHIMI 2020

Best Paper Award: Dzung Pham, Yi-Yu Chou, Blake Dewey, Daniel Reich, John Butman, Snehashis Roy, "Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis"

DART 2020

Best Paper Award: Junlin Yang, "Cross-Modality Segmentation by Self-Supervised Semantic Alignment in Disentangled Content Space"

DCL 2020

Best Paper Award: Mathieu Andreux, "Siloed Federated Learning for Multi-Centric Histopathology Datasets"

iMIMIC 2020

Best Paper Award: Andreas Hinterreiter, Marc Streit, Bernhard Kainz, "Projective Latent Interventions for Understanding and Fine-tuning Classifiers"

STACOM 2020

Best Oral Presentation: Felix Meister, Tiziano Passerini, Chloé Audigier, Èric Lluch, Viorel Mihalef, Hiroshi Ashikaga, Andreas Maier, Henry Halperin, Tommaso Mansi, "Graph convolutional regression of cardiac depolarization from sparse endocardial maps"

Best Poster Presentation: Sofie Tilborghs, Tom Dresselaers, Piet Claus, Jan Bogaert, Frederik Maes, "Shape constrained CNN for cardiac MR segmentation with simultaneous prediction of shape and pose parameters"

Associated Challenge MyoPS 2020 Best Paper Award: Carlos Marin-Isla, Maryam Asadi-Aghbolaghi, Polyxeni Gkontra, Victor M. Campello, Sergio Escalera, Karim Lekadir, "Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge"

Winner of MyoPS 2020 Challenge: Shuwei Zhai, Ran Gu, Wenhui Lei, Guotai Wang, "Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble"

Honorable Mentions in MyoPS 2020 Challenge:

  1. Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia, "EfficientSeg: A Simple but Efficient Solution to Myocardial Pathology Segmentation Challenge"
  2. Yanfei Liu, Maodan Zhang, Qi Zhan, Dongdong Gu, Guocai Liu, "Two-Stage Method for Segmentation of the Myocardial Scars and Edema on Multi-sequence Cardiac Magnetic Resonance"
  3. Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang, "Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images"

Associated M&Ms Challenge:
1st Position, Peter M. Full, "The Effect of Data Augmentation on Robustness against Domain Shifts in cMRI segmentation"
2nd Position, Yao Zhang, "Semi-Supervised Cardiac Image Segmentation via Label Propagation and Style Transfer"
3rd Position, Jun Ma, "Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation"

Associated EMIDEC Classification Challenge:
1st Position, J. Ma, "Cascaded Framework for Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI"
2nd Position, A. Lourenco, E. Kerfoot, I. Grigorescu , C. M Scannell , M. Varela, T. M. Correia, "Automatic Myocardial Disease Prediction From Delayed-Enhancement Cardiac MRI and Clinical Information"
3rd Position, M. Ivantsits, M. Huellebrand, S. Kelle, S. Scheonberg, T. Kuehne, A. Hennemuth, "Deep-Learning-Based Myocardial Pathology Detection"

Associated EMIDEC Segmentation Challenge:
1st Position, Y. Zhang, "Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI"
2nd Position, J. Ma, "Cascaded Framework for Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI"
3rd Position, X. Feng, C. M. Kramer, M. Salerno, Craig H. Meyer, "Automatic Scar Segmentation from DE-MRI Using 2D Dilated UNet with Rotation-Based Augmentation"

GRAIL 2020

NVIDIA Titan RTX GPU Award: Pushpak Pati, "HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification"

OMIA 2020

Prestigious Achievement Award of Ophthalmic Image Analysis: Daniel Ting

Best Paper Award: Amitojdeep Singh, Sourya Sengupta, J. Jothi Balaji, Mohammed Abdul Rasheed, Ibrahim Faruq, Varadharajan Jayakumar, John Zelek, Vasudevan Lakshminarayanan, "What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification?"

Best Paper Award Runner-Up: Mohammad Shafkat Islam, Jui-Kai Wang, Wenxiang Deng, Matthew J. Thurtell, Randy H. Kardon, Mona K. Garvin, "Deep-Learning-Based Estimation of 3D Optic-Nerve-Head Shape from 2D Color Fundus Photographs in Cases of Optic Disc Swelling"

Best Presentation Award: Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Hai Xie, Guanghui Yue, Tianfu Wang, Guoming Zhang, Baiying Lei, "An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network"

Best Presentation Award Runner-Up: Ylenia Giarratano, Alisa Pavel, Jie Lian, Rayna Andreeva, Alessandro Fontanella, Rik Sarkar, Laura J. Reid, Shareen Forbes, Dan Pugh, Tariq E. Farrah, Neeraj Dhaun, Baljean Dhillon, Tom MacGillivray, Miguel O. Bernabeu, "A framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography"

Large-scale Annotation of Biomedical data and Expert Label Synthesis (LABELS)

Award Name/Title:
Best Paper Award
Names of the Awardees:
Patrick Schrempf, Hannah Watson, Shadia Mikhael, Maciej Pajak, Matúš Falis, Aneta Lisowska, Keith W. Muir, David Harris-Birtill, and Alison Q. O'Neil
Title of Work:
Paying Per-label Attention for Multi-label Extraction from Radiology Reports
 
Award Name/Title:
People's Choice Award
Names of the Awardees:
Sebastian Otálora, Niccolò Marini, Henning Müller, and Manfredo Atzori
Title of Work:
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks

AutoImplant 2020 Challenge

Names of Persons:
David G. Ellis and Michele R. Aizenberg
Title of the work:
Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge
Event name:
AutoImplant 2020
Prize:
1st place of AutoImplant 2020
 
Names of Persons:
Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Estacio, Christian Doenitz and Heiko Ramm
Title of the work:
Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks
Event name:
AutoImplant 2020
Prize:
Best Paper Awards
 
Names of Persons:
Haochen Shi and and Xiaojun Chen
Title of the work:
Cranial Implant Design through Multiaxial Slice Inpainting using Deep Learning
Event name:
AutoImplant 2020
Prize:
Best Paper Awards
 
Names of Persons:
Franco Matzkin, Virginia Newcombe, Ben Glocker and Enzo Ferrante
Title of the work:
Cranial Implant Design via Virtual Craniectomy with Shape Priors
Event name:
AutoImplant 2020
Prize:
Best Paper Awards