ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.15318
  4. Cited By
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd
  Place Solution to BraTS Challenge 2020 Segmentation Task

H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task

30 December 2020
Haozhe Jia
Weidong (Tom) Cai
Heng-Chiao Huang
Yong-quan Xia
ArXiv (abs)PDFHTML

Papers citing "H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task"

9 / 9 papers shown
DB-SAM: Delving into High Quality Universal Medical Image Segmentation
DB-SAM: Delving into High Quality Universal Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Chao Qin
Jiale Cao
Huazhu Fu
Fahad Shahbaz Khan
Rao Muhammad Anwer
MedIm
260
11
0
05 Oct 2024
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms,
  and Energy-Based Uncertainty Prediction
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
Zachary Schwehr
Sriman Achanta
346
18
0
31 Dec 2023
Panoptica -- instance-wise evaluation of 3D semantic and instance
  segmentation maps
Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps
Florian Kofler
Hendrik Möller
Josef A. Buchner
Ezequiel de la Rosa
Ivan Ezhov
...
Stefan K. Ehrlich
Annika Reinke
Bjoern Menze
Benedikt Wiestler
Marie Piraud
ISeg
220
8
0
05 Dec 2023
Exploiting Partial Common Information Microstructure for Multi-Modal
  Brain Tumor Segmentation
Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation
Yongsheng Mei
Guru Venkataramani
Tian-Shing Lan
276
11
0
06 Feb 2023
Deep Superpixel Generation and Clustering for Weakly Supervised
  Segmentation of Brain Tumors in MR Images
Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR ImagesBMC Medical Imaging (BMC Med Imaging), 2022
Jayeon Yoo
Khashayar Namdar
Farzad Khalvati
314
6
0
20 Sep 2022
Large-Kernel Attention for 3D Medical Image Segmentation
Large-Kernel Attention for 3D Medical Image SegmentationCognitive Computation (Cogn. Comput.), 2022
Hao Li
Yang Nan
Javier Del Ser
Guang Yang
MedIm
206
45
0
19 Jul 2022
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
Haozhe Jia
Chao Bai
Weidong (Tom) Cai
Heng-Chiao Huang
Yong-quan Xia
175
19
0
10 Feb 2022
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy
  Families All Alike?
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
Jun Ma
323
26
0
01 Jan 2021
Deep Learning Based Brain Tumor Segmentation: A Survey
Deep Learning Based Brain Tumor Segmentation: A SurveyComplex & Intelligent Systems (CIS), 2020
Zhihua Liu
Lei Tong
Zheheng Jiang
Long Chen
Feixiang Zhou
Qianni Zhang
Xiangrong Zhang
Ling Li
Huiyu Zhou
3DV
355
331
0
18 Jul 2020
1
Page 1 of 1