Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1902.03368
Cited By
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
9 February 2019
Noel Codella
V. Rotemberg
P. Tschandl
M. E. Celebi
Stephen W. Dusza
David Gutman
Brian Helba
Aadi Kalloo
Konstantinos Liopyris
Michael Marchetti
Harald Kittler
Allan Halpern
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)"
50 / 150 papers shown
Title
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu
Yu Tian
Yuanhong Chen
Yuyuan Liu
Vasileios Belagiannis
G. Carneiro
43
76
0
25 Nov 2021
Distribution Estimation to Automate Transformation Policies for Self-Supervision
Seunghan Yang
Debasmit Das
Simyung Chang
Sungrack Yun
Fatih Porikli
17
6
0
24 Nov 2021
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
57
882
0
22 Nov 2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
Michael Yeung
L. Rundo
Yang Nan
Evis Sala
Carola-Bibiane Schönlieb
Guang Yang
UQCV
25
30
0
31 Oct 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
197
654
0
27 Oct 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park
Anas Awadalla
Tadayoshi Kohno
Shwetak N. Patel
OOD
30
29
0
26 Oct 2021
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning
Priyam Mehta
21
0
0
12 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng
Jianwen Jiang
Mingqian Tang
Rong Jin
Yue Gao
SSL
53
39
0
12 Oct 2021
DenseNet approach to segmentation and classification of dermatoscopic skin lesions images
Reza Zare
Arash Pourkazemi
11
5
0
09 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Jinghan Sun
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
32
8
0
09 Oct 2021
Designing Counterfactual Generators using Deep Model Inversion
Jayaraman J. Thiagarajan
V. Narayanaswamy
Deepta Rajan
J. Liang
Akshay S. Chaudhari
A. Spanias
DiffM
20
22
0
29 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
50
16
0
15 Sep 2021
Deploying clinical machine learning? Consider the following...
Charles Lu
Kenglun Chang
Praveer Singh
S. Pomerantz
S. Doyle
Sujay S Kakarmath
Christopher P. Bridge
Jayashree Kalpathy-Cramer
49
4
0
14 Sep 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
35
16
0
30 Aug 2021
Multi-Compound Transformer for Accurate Biomedical Image Segmentation
Yuanfeng Ji
Ruimao Zhang
Huijie Wang
Zhen Li
Lingyun Wu
Shaoting Zhang
Ping Luo
ViT
MedIm
22
131
0
28 Jun 2021
A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li
Guangming Zhu
Cong Hua
Mingtao Feng
Basheer Bennamoun
...
Xu Xu
Lin Mei
Liang Zhang
Syed Afaq Ali Shah
Bennamoun
OOD
46
49
0
24 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam
Chun-Fu Chen
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Richard J. Radke
30
84
0
14 Jun 2021
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
Hannah Kim
G. Tadesse
C. Cintas
Skyler Speakman
Kush R. Varshney
OOD
12
18
0
24 May 2021
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh
Caleb Harris
L. Soenksen
Felix Lau
Rachel Han
Aerin Kim
A. Koochek
Omar Badri
112
184
0
20 Apr 2021
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
Anneke Meyer
Suhita Ghosh
D. Schindele
M. Schostak
Sebastian Stober
C. Hansen
Marko Rak
28
16
0
08 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiaoyu Lin
Meng Ye
Yunye Gong
G. Buracas
Nikoletta Basiou
Ajay Divakaran
Yi Yao
26
4
0
01 Apr 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Ashraful Islam
Chun-Fu Chen
Yikang Shen
Leonid Karlinsky
Richard J. Radke
Rogerio Feris
SSL
29
112
0
24 Mar 2021
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
T. Bdair
Nassir Navab
Shadi Albarqouni
FedML
24
13
0
05 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
Fengbei Liu
Yu Tian
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
23
41
0
05 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
106
1,383
0
14 Dec 2020
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
35
274
0
26 Nov 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
30
242
0
25 Nov 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer
P. Schramowski
Kristian Kersting
FAtt
14
107
0
25 Nov 2020
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
28
1,045
0
02 Nov 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang
Rui Shi
Bingbing Ni
VLM
34
294
0
28 Oct 2020
Using Deep Image Priors to Generate Counterfactual Explanations
V. Narayanaswamy
Jayaraman J. Thiagarajan
A. Spanias
18
4
0
22 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
26
164
0
20 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
Günter Klambauer
Sepp Hochreiter
OOD
30
45
0
13 Oct 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
P. Gyawali
S. Ghimire
Linwei Wang
AAML
39
7
0
23 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Ran Gu
Guotai Wang
Tao Song
Rui Huang
Michael Aertsen
Jan Deprest
Sébastien Ourselin
Tom Kamiel Magda Vercauteren
Shaoting Zhang
SSeg
42
457
0
22 Sep 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina
A. Devos
Matthias Grossglauser
SSL
26
50
0
19 Jun 2020
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data
Zhen Zhao
Bingyu Liu
Yuhong Guo
Jieping Ye
6
0
0
08 Jun 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Quande Liu
Lequan Yu
Luyang Luo
Qi Dou
Pheng Ann Heng
30
220
0
15 May 2020
Detector-SegMentor Network for Skin Lesion Localization and Segmentation
Shreshth Saini
D. Gupta
A. Tiwari
22
13
0
13 May 2020
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification
Di Zhuang
Keyu Chen
Jerome Chang
17
16
0
25 Apr 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Alceu Bissoto
Eduardo Valle
Sandra Avila
21
54
0
23 Apr 2020
Semi-supervised few-shot learning for medical image segmentation
A. Fayjie
Reza Azad
M. Pedersoli
C. Kauffmann
Ismail Ben Ayed
Jose Dolz
24
63
0
18 Mar 2020
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Maryam Asadi-Aghbolaghi
Reza Azad
M. Fathy
Sergio Escalera
SSeg
20
60
0
10 Mar 2020
IROF: a low resource evaluation metric for explanation methods
Laura Rieger
Lars Kai Hansen
28
55
0
09 Mar 2020
Penalizing small errors using an Adaptive Logarithmic Loss
Chaitanya Kaul
Nick E. Pears
Hang Dai
Roderick Murray-Smith
S. Manandhar
22
9
0
22 Oct 2019
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data
N. Gessert
M. Nielsen
M. Shaikh
R. Werner
Alexander Schlaefer
27
256
0
09 Oct 2019
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
Md. Mostafa Kamal Sarker
Hatem A. Rashwan
Farhan Akram
V. Singh
Syeda Furruka Banu
...
Kabir Ahmed Choudhury
Sylvie Chambon
Petia Radeva
D. Puig
M. Abdel-Nasser
GAN
MedIm
39
27
0
01 Jul 2019
Leveraging Latent Features for Local Explanations
Ronny Luss
Pin-Yu Chen
Amit Dhurandhar
P. Sattigeri
Yunfeng Zhang
Karthikeyan Shanmugam
Chun-Chen Tu
FAtt
49
37
0
29 May 2019
(De)Constructing Bias on Skin Lesion Datasets
Alceu Bissoto
Michel Fornaciali
Eduardo Valle
Sandra Avila
20
71
0
18 Apr 2019
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images
Noel Codella
Q. Nguyen
Sharath Pankanti
David Gutman
Brian Helba
Allan Halpern
John R. Smith
47
527
0
14 Oct 2016
Previous
1
2
3