Title
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection Farzad Beizaee Gregory A. Lodygensky Christian Desrosiers Jose Dolz DiffM MedIm 44 0 0 24 Feb 2025
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments Mingjian Li Mingyuan Meng Shuchang Ye David Dagan Feng Lei Bi Jinman Kim 94 0 0 18 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation Jun Shi Hongyu Kan Shulan Ruan Ziqi Zhu Minfan Zhao Liang Qiao Zhaohui Wang Hong An Xudong Xue ViT MedIm 18 6 0 04 Jul 2023
Medical Image Analysis using Deep Relational Learning Zhi-Hu Liu MedIm 17 0 0 28 Mar 2023
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View V. Zimmer A. Gómez E. Skelton Robert Wright G. Wheeler ... Jacqueline Matthew Bernhard Kainz Daniel Rueckert Joseph V. Hajnal Julia A. Schnabel 33 22 0 29 Jun 2022
Evidence fusion with contextual discounting for multi-modality medical image segmentation Ling Huang Thierry Denoeux P. Vera S. Ruan MedIm 36 28 0 23 Jun 2022
Application of belief functions to medical image segmentation: A review Ling Huang S. Ruan Thierry Denoeux EDL MedIm 27 30 0 03 May 2022
A Novel Mask R-CNN Model to Segment Heterogeneous Brain Tumors through Image Subtraction Sanskriti Singh 17 7 0 04 Apr 2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation Dingwen Zhang Guohai Huang Qiang Zhang Jungong Han Junwei Han Yizhou Yu 25 217 0 07 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 48 1,062 0 04 Jan 2022
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Wenhao Li Qisen Xu Chuyun Shen Bin Hu Fengping Zhu Yuxin Li Bo Jin Xiangfeng Wang 30 5 0 15 Nov 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks Giuseppina Carannante Dimah Dera Nidhal C.Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool UQCV AAML OOD 27 6 0 10 Nov 2021
A Tri-attention Fusion Guided Multi-modal Segmentation Network Tongxue Zhou S. Ruan P. Vera S. Canu MedIm 35 45 0 02 Nov 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 53 83 0 19 Aug 2021
Brain tumour segmentation using a triplanar ensemble of U-Nets V. Sundaresan L. Griffanti M. Jenkinson 17 14 0 24 May 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 18 22 0 22 May 2021
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector A. Durrant Milan Markovic David Matthews David May J. Enright Georgios Leontidis FedML 32 69 0 14 Apr 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities Tongxue Zhou S. Canu P. Vera S. Ruan 27 141 0 13 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-Hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 18 104 0 08 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review Mingquan Lin Jacob F. Wynne Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 35 24 0 25 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 36 53 0 09 Mar 2021
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation Xing Li Haichun Yang Jiaxin He Aadarsh Jha Agnes B. Fogo L. Wheless Shilin Zhao Yuankai Huo 27 3 0 17 Feb 2021
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation Carlos Alberto Silva Adriano Pinto Sérgio Pereira Ana P. Lopes 24 11 0 02 Jan 2021
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures Laura Mora Ballestar Verónica Vilaplana 24 36 0 30 Dec 2020
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation Saqib Qamar Parvez Ahmad Linlin Shen 25 26 0 12 Dec 2020
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation Ngan Le Kashu Yamazaki Dat T. Truong Kha Gia Quach Marios Savvides MedIm 30 18 0 03 Dec 2020
Automatic Brain Tumor Segmentation with Scale Attention Network Yading Yuan 33 32 0 06 Nov 2020
DR-Unet104 for Multimodal MRI brain tumor segmentation Jordan Colman Lei Zhang Wenting Duan Xujiong Ye 16 20 0 04 Nov 2020
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge Lucas Fidon Sebastien Ourselin Tom Kamiel Magda Vercauteren OOD MedIm 24 41 0 03 Nov 2020
nnU-Net for Brain Tumor Segmentation Fabian Isensee Paul F. Jaeger Peter M. Full Philipp Vollmuth Klaus H. Maier-Hein 31 292 0 02 Nov 2020
Context Aware 3D UNet for Brain Tumor Segmentation Parvez Ahmad Saqib Qamar Linlin Shen Adnan Saeed SSeg 21 35 0 25 Oct 2020
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 24 228 0 18 Jul 2020
A review: Deep learning for medical image segmentation using multi-modality fusion Tongxue Zhou S. Ruan S. Canu 24 504 0 22 Apr 2020
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation Mehrdad Noori Ali Bahri K. Mohammadi 3DV 27 93 0 04 Apr 2020
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning S. Devalla T. Pham S. Panda Zhang Liang Giridhar Subramanian ... L. Schmetterer S. Perera Tin Aung Alexandre Hoang Thiery M. Girard 33 29 0 22 Feb 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation A. Emre Kavur N. Gezer M. Baris Sinem Aslan Pierre-Henri Conze ... Klaus H. Maier-Hein G. Akar Gözde B. Ünal O. Dicle M. Alper Selver 50 611 0 17 Jan 2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 24 265 0 29 Nov 2019
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction Shuo Wang Chengliang Dai Yuanhan Mo Elsa D. Angelini Yike Guo Wenjia Bai 9 24 0 19 Nov 2019
Deep learning for cardiac image segmentation: A review Chia-Ju Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 675 0 09 Nov 2019
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning Dominik Muller Frank Kramer 22 117 0 21 Oct 2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images Aleksandar Vakanski Min Xian Phoebe E. Freer 27 142 0 20 Oct 2019
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge Gianmarco Santini Noémie Moreau M. Rubeaux 11 31 0 02 Sep 2019
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers Samuel Budd Matthew Sinclair Bishesh Khanal Jacqueline Matthew D. Lloyd A. Gómez N. Toussaint E. C. Robinson Bernhard Kainz 23 33 0 07 Aug 2019
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors J. Nalepa P. R. Lorenzo Michal Marcinkiewicz B. Bobek-Billewicz P. Wawrzyniak ... M. Kawulok Wojciech Dudzik Grzegorz Mrukwa Pawel Ulrych M. P. Hayball 24 47 0 18 Jul 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern H. Menze 85 1,611 0 05 Nov 2018
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation Ryan Sherman 27 4 0 27 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation Guotai Wang Wenqi Li Sebastien Ourselin Tom Kamiel Magda Vercauteren 19 151 0 18 Oct 2018
A Novel Domain Adaptation Framework for Medical Image Segmentation A. Gholami Shashank Subramanian Varun Shenoy Naveen Himthani Xiangyu Yue Sicheng Zhao Peter H. Jin George Biros Kurt Keutzer MedIm 32 50 0 11 Oct 2018
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation Mina Rezaei Haojin Yang Christoph Meinel GAN SSeg MedIm 22 21 0 09 Oct 2018