Jeremy Kawahara

According to our database, Jeremy Kawahara authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images.

Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh

CoRR, 2023

Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images.

Mohamed Akrout, Bálint Gyepesi, Péter Holló, Adrienn Poór, Blága Kincso, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

2022

Skin3D: Detection and longitudinal tracking of pigmented skin lesions in 3D total-body textured meshes.

Mengliu Zhao, Jeremy Kawahara, Kumar Abhishek, Sajjad Shamanian, Ghassan Hamarneh

Medical Image Anal., 2022

2021

Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Skin Textured Meshes.

Mengliu Zhao, Jeremy Kawahara, Sajjad Shamanian, Kumar Abhishek, Priyanka Chandrashekar, Ghassan Hamarneh

CoRR, 2021

2019

Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features.

Jeremy Kawahara, Ghassan Hamarneh

IEEE J. Biomed. Health Informatics, 2019

Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets.

Jeremy Kawahara, Sara Daneshvar, Giuseppe Argenziano, Ghassan Hamarneh

IEEE J. Biomed. Health Informatics, 2019

Visual Diagnosis of Dermatological Disorders: Human and Machine Performance.

Jeremy Kawahara, Ghassan Hamarneh

CoRR, 2019

Melanoma Recognition via Visual Attention.

Yiqi Yan, Jeremy Kawahara, Ghassan Hamarneh

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Deep auto-context fully convolutional neural network for skin lesion segmentation.

Zahra Mirikharaji, Saeed Izadi, Jeremy Kawahara, Ghassan Hamarneh

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Generative adversarial networks to segment skin lesions.

Saeed Izadi, Zahra Mirikharaji, Jeremy Kawahara, Ghassan Hamarneh

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Connectome priors in deep neural networks to predict autism.

Colin J. Brown, Jeremy Kawahara, Ghassan Hamarneh

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment.

Jeremy Kawahara, Colin J. Brown, Steven P. Miller, Brian G. Booth, Vann Chau, Ruth E. Grunau, Jill G. Zwicker, Ghassan Hamarneh

NeuroImage, 2017

Fully Convolutional Networks to Detect Clinical Dermoscopic Features.

Jeremy Kawahara, Ghassan Hamarneh

CoRR, 2017

Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification.

Saeid Asgari Taghanaki, Jeremy Kawahara, Brandon Miles, Ghassan Hamarneh

Comput. Methods Programs Biomed., 2017

Graph Geodesics to Find Progressively Similar Skin Lesion Images.

Jeremy Kawahara, Kathleen P. Moriarty, Ghassan Hamarneh

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

2016

Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers.

Jeremy Kawahara, Ghassan Hamarneh

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Deep features to classify skin lesions.

Jeremy Kawahara, Aïcha BenTaieb, Ghassan Hamarneh

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Multi-loss convolutional networks for gland analysis in microscopy.

Aïcha BenTaieb, Jeremy Kawahara, Ghassan Hamarneh

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014

Automatic Labelling of Tumourous Frames in Free-Hand Laparoscopic Ultrasound Video.

Jeremy Kawahara, Jean-Marc Peyrat, Julien Abinahed, Osama Al-Alao, Abdulla Al-Ansari, Rafeef Abugharbieh, Ghassan Hamarneh

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation.

Jeremy Kawahara, Chris McIntosh, Roger C. Tam, Ghassan Hamarneh

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Globally optimal spinal cord segmentation using a minimal path in high dimensions.

Jeremy Kawahara, Chris McIntosh, Roger C. Tam, Ghassan Hamarneh

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013