ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.08661
  4. Cited By
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation
  Supervision for Medical Object Detection

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

21 November 2018
Paul F. Jaeger
Simon A. A. Kohl
S. Bickelhaupt
Fabian Isensee
T. Kuder
H. Schlemmer
Klaus H. Maier-Hein
    SSeg
ArXivPDFHTML

Papers citing "Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection"

13 / 13 papers shown
Title
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review
Jingguo Qu
Xinyang Han
Man-Lik Chui
Yao Pu
Simon Takadiyi Gunda
...
Jing Qin
Ann Dorothy King
Winnie Chiu-Wing Chu
J. Cai
Michael Tin-Cheung Ying
26
0
0
09 May 2025
From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans
Qinji Yu
Yirui Wang
K. Yan
Dandan Zheng
Dashan Ai
...
N. Shen
Xiaowei Ding
Le Lu
X. Ye
Dakai Jin
ViT
MedIm
57
0
0
11 Mar 2025
Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
B. K. Das
Gengyan Zhao
Han Liu
Thomas J. Re
D. Comaniciu
Eli Gibson
Andreas K. Maier
ViT
MedIm
55
1
0
15 Jan 2025
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for
  real-time object detectors
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
25
6,222
0
06 Jul 2022
Potato Crop Stress Identification in Aerial Images using Deep
  Learning-based Object Detection
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection
S. Butte
Aleksandar Vakanski
K. Duellman
Haotian Wang
Amin Mirkouei
18
48
0
14 Jun 2021
Deep Learning for fully automatic detection, segmentation, and Gleason
  Grade estimation of prostate cancer in multiparametric Magnetic Resonance
  Images
Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images
Oscar J. Pellicer-Valero
José L. Jiménez
V. González-Pérez
J. C. Ramón-Borja
I. García
María Barrios Benito
P. P. Gómez
J. Rubio-Briones
M. J. Rupérez
J. D. Martín-Guerrero
10
73
0
23 Mar 2021
On the Evaluation of Prohibited Item Classification and Detection in
  Volumetric 3D Computed Tomography Baggage Security Screening Imagery
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery
Qian Wang
Neelanjan Bhowmik
T. Breckon
17
10
0
27 Mar 2020
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in
  Ultrasound Images
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski
Min Xian
Phoebe E. Freer
11
142
0
20 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
31
666
0
16 Oct 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
16
457
0
31 Aug 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
9
750
0
27 Aug 2019
Lung Nodules Detection and Segmentation Using 3D Mask-RCNN
Lung Nodules Detection and Segmentation Using 3D Mask-RCNN
E. Kopelowitz
G. Engelhard
3DPC
14
48
0
17 Jul 2019
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy
  Classification
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Christoph Haarburger
Michael Baumgartner
Daniel Truhn
Mirjam Broeckmann
Hannah Schneider
S. Schrading
Christiane Kuhl
Dorit Merhof
13
32
0
14 Jun 2019
1