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. 1902.08994
  4. Cited By
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic
  and Instance Segmentation of Surgical Instrument

U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument

24 February 2019
S. Hasan
Cristian A. Linte
    MedIm
ArXiv (abs)PDFHTML

Papers citing "U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument"

24 / 24 papers shown
Identifying Surgical Instruments in Laparoscopy Using Deep Learning Instance Segmentation
Identifying Surgical Instruments in Laparoscopy Using Deep Learning Instance SegmentationInternational Conference on Content-Based Multimedia Indexing (CBMI), 2019
Sabrina Kletz
Klaus Schoeffmann
Jenny Benois-Pineau
Heinrich Husslein
95
39
0
29 Aug 2025
NeeCo: Image Synthesis of Novel Instrument States Based on Dynamic and Deformable 3D Gaussian Reconstruction
NeeCo: Image Synthesis of Novel Instrument States Based on Dynamic and Deformable 3D Gaussian Reconstruction
Tianle Zeng
Junlei Hu
Gerardo Loza Galindo
Sharib Ali
Duygu Sarikaya
Pietro Valdastri
Dominic Jones
140
1
0
11 Aug 2025
Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture
Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture
Mitul Goswami
Sainath Dey
Aniruddha Mukherjee
Suneeta Mohanty
Prasant Kumar Pattnaik
SSeg
342
3
0
08 Feb 2025
Label-supervised surgical instrument segmentation using temporal equivariance and semantic continuity
Label-supervised surgical instrument segmentation using temporal equivariance and semantic continuity
Qiyuan Wang
Y. Liu
Shang Zhao
Rong Liu
S. Kevin Zhou
338
1
0
14 Mar 2024
Methods and datasets for segmentation of minimally invasive surgical
  instruments in endoscopic images and videos: A review of the state of the art
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
Tobias Rueckert
Daniel Rueckert
Christoph Palm
425
40
0
25 Apr 2023
MATIS: Masked-Attention Transformers for Surgical Instrument
  Segmentation
MATIS: Masked-Attention Transformers for Surgical Instrument SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Nicolás Ayobi
Alejandra Pérez-Rondón
Santiago Rodríguez
Pablo Arbelaez
MedIm
422
43
0
16 Mar 2023
Evaluation of the potential of Near Infrared Hyperspectral Imaging for
  monitoring the invasive brown marmorated stink bug
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bugChemometrics and Intelligent Laboratory Systems (CILS), 2023
Veronica Ferrari
R. Calvini
Bastian J. Boom
Camilla Menozzi
A. K. Rangarajan
L. Maistrello
P. Offermans
A. Ulrici
108
20
0
19 Jan 2023
From Forks to Forceps: A New Framework for Instance Segmentation of
  Surgical Instruments
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical InstrumentsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Britty Baby
Daksh Thapar
Mustafa Chasmai
Tamajit Banerjee
Kunal Dargan
A. Suri
Subhashis Banerjee
Chetan Arora
426
44
0
26 Nov 2022
Deep Instance Segmentation and Visual Servoing to Play Jenga with a
  Cost-Effective Robotic System
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic SystemItalian National Conference on Sensors (INS), 2022
Luca Marchionna
G. Pugliese
Mauro Martini
Simone Angarano
Francesco Salvetti
Marcello Chiaberge
282
6
0
15 Nov 2022
A comprehensive survey on recent deep learning-based methods applied to
  surgical data
A comprehensive survey on recent deep learning-based methods applied to surgical data
Mansoor Ali
Rafael Martinez Garcia Peña
Gilberto Ochoa-Ruiz
Sharib Ali
495
7
0
03 Sep 2022
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds
  Representing Laparoscopic Scenes
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic ScenesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Bastian Alt
Christian Kunz
Darko Katic
Rayan Younis
Rainer Jäkel
Beat Peter Müller-Stich
M. Wagner
F. Mathis-Ullrich
3DPC
125
2
0
15 Jul 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument
  Segmentation
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation
Luca Sestini
Benoit Rosa
Elena De Momi
G. Ferrigno
N. Padoy
183
39
0
16 Feb 2022
Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode
  Decomposition and Res-UNet+ Neural Networks
Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks
T. Zhang
P. Jin
211
2
0
13 Jan 2022
How can we learn (more) from challenges? A statistical approach to
  driving future algorithm development
How can we learn (more) from challenges? A statistical approach to driving future algorithm development
T. Ross
Pierangela Bruno
Annika Reinke
Manuel Wiesenfarth
Lisa Koeppel
...
S. Moccia
Francesco Calimeri
Beat P. Müller-Stich
A. Kopp-Schneider
Lena Maier-Hein
AAML
169
8
0
17 Jun 2021
Crack Semantic Segmentation using the U-Net with Full Attention Strategy
Crack Semantic Segmentation using the U-Net with Full Attention Strategy
F. Lin
Jiesheng Yang
Jian-Hua Shu
Raimar J. Scherer
SSeg
105
19
0
29 Apr 2021
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applicationsIEEE Access (IEEE Access), 2020
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
348
1,489
0
02 Nov 2020
Using Conditional Generative Adversarial Networks to Reduce the Effects
  of Latency in Robotic Telesurgery
Using Conditional Generative Adversarial Networks to Reduce the Effects of Latency in Robotic Telesurgery
Neil Sachdeva
Misha Klopukh
Rachel St. Clair
W. Hahn
GANMedIm
170
25
0
07 Oct 2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative
  Adversarial Network
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network
Shuqiang Wang
Zhuo Chen
Wen Yu
Baiying Lei
GANMedIm
306
69
0
30 Aug 2020
Unsupervised Surgical Instrument Segmentation via Anchor Generation and
  Semantic Diffusion
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic DiffusionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Daochang Liu
Yuhui Wei
Tingting Jiang
Yizhou Wang
R. Miao
F. Shan
Ziyu Li
MedIm
233
30
0
27 Aug 2020
L-CO-Net: Learned Condensation-Optimization Network for Clinical
  Parameter Estimation from Cardiac Cine MRI
L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI
S. Hasan
Cristian A. Linte
117
0
0
21 Apr 2020
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for
  Bi-ventricular Blood Pool and Myocardium Segmentation
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation
S. Hasan
Cristian A. Linte
145
15
0
05 Apr 2020
MAP-Net: Multi Attending Path Neural Network for Building Footprint
  Extraction from Remote Sensed Imagery
MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed ImageryIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
Qing Zhu
Cheng Liao
Han Hu
X. Mei
Haifeng Li
364
202
0
26 Oct 2019
Incorporating Temporal Prior from Motion Flow for Instrument
  Segmentation in Minimally Invasive Surgery Video
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery VideoInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Yueming Jin
Keyun Cheng
Qi Dou
Pheng-Ann Heng
240
137
0
18 Jul 2019
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
734
2,480
0
18 Sep 2018
1
Page 1 of 1