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End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of
  Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction

End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction

8 January 2021
A. Saha
M. Hosseinzadeh
Henkjan Huisman
    MedIm
ArXivPDFHTML

Papers citing "End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction"

28 / 28 papers shown
Title
Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
Hassan Jahanandish
Shengtian Sang
Cynthia Xinran Li
Sulaiman Vesal
Indrani Bhattacharya
Jeong Hoon Lee
Richard E. Fan
Geoffrey A. Sonna
M. Rusu
34
0
0
31 Jan 2025
RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction In MRI Prostate Cancer Detection
Vasileios Magoulianitis
Jiaxin Yang
Catherine A. Alexander
C.-C. Jay Kuo
MedIm
35
0
0
03 Jan 2025
Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode
  Micro-Ultrasound
Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound
Lichun Zhang
Steve Zhou
Moon Hyung Choi
Jeong Hoon Lee
Shengtian Sang
...
Wei Shao
Ahmed N. El Kaffas
Richard E. Fan
G. Sonn
M. Rusu
MedIm
66
0
0
14 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
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
79
1
0
25 Nov 2024
Weakly supervised deep learning model with size constraint for prostate
  cancer detection in multiparametric MRI and generalization to unseen domains
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
Robin Trombetta
O. Rouvière
Carole Lartizien
OOD
MedIm
59
0
0
04 Nov 2024
Deep Radiomics Detection of Clinically Significant Prostate Cancer on
  Multicenter MRI: Initial Comparison to PI-RADS Assessment
Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
G. A. Nketiah
M. R. Sunoqrot
E. Sandsmark
S. Langørgen
K. M. Selnæs
H. Bertilsson
M. Elschot
T. F. Bathen
13
0
0
21 Oct 2024
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model
  for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets
Hao Li
Han Liu
H. von Busch
Robert Grimm
Henkjan Huisman
...
M. Harisinghani
I. Oguz
D. Comaniciu
A. Kamen
B. Lou
MedIm
26
0
0
08 Aug 2024
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Zohaib Salahuddin
A. Ibrahim
Sheng Kuang
Y. Widaatalla
R. Miclea
...
Tom Marcelissen
Patricia Zondervan
Auke Jager
Philippe Lambin
Henry C. Woodruff
MedIm
22
0
0
07 Aug 2024
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for
  Medical LVLM
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
Yutao Hu
Tian-Xin Li
Quanfeng Lu
Wenqi Shao
Junjun He
Yu Qiao
Ping Luo
ELM
LM&MA
29
50
0
14 Feb 2024
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20
  Million masks
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks
Jin Ye
Junlong Cheng
Jianpin Chen
Zhongying Deng
Tian-Xin Li
...
Hui Sun
Min Zhu
Shaoting Zhang
Junjun He
Yu Qiao
VLM
MedIm
21
37
0
20 Nov 2023
On undesired emergent behaviors in compound prostate cancer detection systems
On undesired emergent behaviors in compound prostate cancer detection systems
Erlend Sortland Rolfsnes
Philip Thangngat
T. Eftestøl
T. Nordström
F. Jäderling
M. Eklund
Alvaro Fernandez-Quilez
18
0
0
15 Sep 2023
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer
  Detection
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
Balint Kovacs
Nils Netzer
Michael Baumgartner
Carolin Eith
Dimitrios Bounias
...
Markus Hohenfellner
H. Schlemmer
Ivo Wolf
D. Bonekamp
Klaus H. Maier-Hein
MedIm
10
3
0
07 Sep 2023
Decoupled conditional contrastive learning with variable metadata for
  prostate lesion detection
Decoupled conditional contrastive learning with variable metadata for prostate lesion detection
Camille Ruppli
Pietro Gori
R. Ardon
Isabelle Bloch
MedIm
12
1
0
18 Aug 2023
Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate
  cancer detection
Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection
Alvaro Fernandez-Quilez
T. Nordström
F. Jäderling
S. R. Kjosavik
M. Eklund
19
3
0
10 Aug 2023
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR
  Images for Prostate Cancer Localisation
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation
Wen Yan
B. Chiu
Ziyi Shen
Qianye Yang
Tom Syer
...
S. Punwani
M. Emberton
David Atkinson
D. Barratt
Yipeng Hu
MedIm
21
5
0
17 Jul 2023
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware
  Prostate Cancer Classification
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
Meng Zhou
A. Jamzad
J. Izard
A. Menard
R. Siemens
P. Mousavi
MedIm
35
0
0
02 Jul 2023
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal
  Segmentation
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation
M. Hosseinzadeh
A. Saha
Joeran S. Bosma
Henkjan Huisman
13
1
0
10 May 2023
Cross-Shaped Windows Transformer with Self-supervised Pretraining for
  Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Yuheng Li
Jacob F. Wynne
Jing Wang
Richard L. J. Qiu
J. Roper
...
A. Jani
Tian Liu
P. Patel
H. Mao
Xiaofeng Yang
OOD
ViT
MedIm
30
10
0
30 Apr 2023
Segment Anything in Medical Images
Segment Anything in Medical Images
Jun Ma
Yuting He
Feifei Li
Li-Jun Han
Chenyu You
Bo Wang
MedIm
VLM
36
448
0
24 Apr 2023
Prostate Lesion Estimation using Prostate Masks from Biparametric MRI
Prostate Lesion Estimation using Prostate Masks from Biparametric MRI
Ahmet Karagoz
Mustafa Ege Seker
M. Yergin
Tarkan Atak Kan
Mustafa Said Kartal
E. Karaarslan
D. Alis
Ilkay Oksuz
MedIm
18
1
0
11 Jan 2023
ProstAttention-Net: A deep attention model for prostate cancer
  segmentation by aggressiveness in MRI scans
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
Audrey Duran
Gaspard Dussert
O. Rouvière
Tristan Jaouen
Pierre-Marc Jodoin
Carole Lartizien
MedIm
31
70
0
23 Nov 2022
The use of deep learning in interventional radiotherapy (brachytherapy):
  a review with a focus on open source and open data
The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data
T. Fechter
I. Sachpazidis
D. Baltas
OOD
AI4CE
26
5
0
16 May 2022
Annotation-efficient cancer detection with report-guided lesion
  annotation for deep learning-based prostate cancer detection in bpMRI
Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI
Joeran S. Bosma
A. Saha
M. Hosseinzadeh
Ivan Slootweg
Maarten de Rooij
Henkjan Huisman
19
29
0
09 Dec 2021
Bridging the gap between prostate radiology and pathology through
  machine learning
Bridging the gap between prostate radiology and pathology through machine learning
Indrani Bhattacharya
David S. Lim
Han Lin Aung
Xingchen Liu
A. Seetharaman
...
P. Ghanouni
Katherine Toó
J. Brooks
G. Sonn
M. Rusu
17
15
0
03 Dec 2021
Fully Automatic Deep Learning Framework for Pancreatic Ductal
  Adenocarcinoma Detection on Computed Tomography
Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography
N. Alves
M. Schuurmans
G. Litjens
Joeran S. Bosma
J. Hermans
Henkjan Huisman
MedIm
21
53
0
30 Nov 2021
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI
  $-$Should Different Clinical Objectives Mandate Different Loss Functions?
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI −-−Should Different Clinical Objectives Mandate Different Loss Functions?
A. Saha
Shengcai Liu
J. Linmans
M. Hosseinzadeh
Ke Tang
21
8
0
25 Oct 2021
Controlling False Positive/Negative Rates for Deep-Learning-Based
  Prostate Cancer Detection on Multiparametric MR images
Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images
Z. Min
F. Bianco
Qianye Yang
Rachael Rodell
Wen Yan
D. Barratt
Yipeng Hu
MedIm
15
3
0
04 Jun 2021
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
23
330
0
27 Feb 2017
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