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Kivanç Köse
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Journal Articles
- 2021
- [j8]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). Medical Image Anal. 67: 101841 (2021) - 2017
- [j7]Sindhu Ghanta, Michael I. Jordan, Kivanç Köse, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy:
A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin. IEEE Trans. Image Process. 26(1): 172-184 (2017) - 2016
- [j6]Mohammad Tofighi, Onur Yorulmaz, Kivanç Köse, Deniz Cansen Yildirim, Rengül Çetin-Atalay, A. Enis Çetin:
Phase and TV Based Convex Sets for Blind Deconvolution of Microscopic Images. IEEE J. Sel. Top. Signal Process. 10(1): 81-91 (2016) - 2015
- [j5]Mohammad Tofighi, Kivanç Köse, A. Enis Çetin:
Denoising images corrupted by impulsive noise using projections onto the epigraph set of the total variation function (PES-TV). Signal Image Video Process. 9(Supplement-1): 41-48 (2015) - 2014
- [j4]Kivanç Köse, Osman Gunay, A. Enis Çetin:
Compressive sensing using the modified entropy functional. Digit. Signal Process. 24: 63-70 (2014) - 2012
- [j3]Osman Gunay, B. Ugur Töreyin, Kivanç Köse, A. Enis Çetin:
Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video. IEEE Trans. Image Process. 21(5): 2853-2865 (2012) - 2011
- [j2]Kivanç Köse, A. Enis Çetin:
Low-Pass Filtering of Irregularly Sampled Signals Using a Set Theoretic Framework [Lecture Notes]. IEEE Signal Process. Mag. 28(4): 117-121 (2011) - 2010
- [j1]Kivanç Köse, A. Enis Çetin, Ugur Güdükbay, Levent Onural:
3D Model compression using Connectivity-Guided Adaptive Wavelet Transform built into 2D SPIHT. J. Vis. Commun. Image Represent. 21(1): 17-28 (2010)
Conference and Workshop Papers
- 2023
- [c15]Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy:
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. NeurIPS 2023 - 2018
- [c14]Alican Bozkurt, Kivanç Köse, Christi Alessi-Fox, Melissa Gill, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin. MICCAI (2) 2018: 292-299 - 2017
- [c13]Alican Bozkurt, Trevor Gale, Kivanç Köse, Christi Alessi-Fox, Dana H. Brooks, Milind Rajadhyaksha, Jennifer G. Dy:
Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks. CVPR Workshops 2017: 777-785 - 2014
- [c12]Mohammad Tofighi, Kivanç Köse, A. Enis Çetin:
Denoising using projections onto the epigraph set of convex cost functions. ICIP 2014: 2709-2713 - [c11]Mohammad Tofighi, Alican Bozkurt, Kivanç Köse, A. Enis Çetin:
Deconvolution using projections onto the epigraph set of a convex cost function. SIU 2014: 1638-1641 - 2013
- [c10]A. Enis Çetin, Alican Bozkurt, Osman Günay, Yusuf Hakan Habiboglu, Kivanç Köse, Ibrahim Onaran, Mohammad Tofighi, Rasim Akin Sevimli:
Projections onto convex sets (POCS) based optimization by lifting. GlobalSIP 2013: 623 - [c9]Alaa Eleyan, Kivanç Köse, A. Enis Çetin:
Image Feature Extraction Using Compressive Sensing. IP&C 2013: 177-184 - 2012
- [c8]Kosmas Dimitropoulos, Osman Gunay, Kivanç Köse, Fatih Erden, F. Chaabene, Filareti Tsalakanidou, Nikolaos Grammalidis, A. Enis Çetin:
Flame Detection for Video-Based Early Fire Warning for the Protection of Cultural Heritage. EuroMed 2012: 378-387 - [c7]Kivanç Köse, Volkan Cevher, A. Enis Çetin:
Filtered Variation method for denoising and sparse signal processing. ICASSP 2012: 3329-3332 - [c6]Fatih Erden, B. Ugur Töreyin, Emin Birey Soyer, I. Inac, Osman Günay, Kivanç Köse, A. Enis Çetin:
Wavelet based flame detection using differential PIR sensors. SIU 2012: 1-4 - [c5]Osman Günay, Behcet Ugur Töreyin, Kivanç Köse, A. Enis Çetin:
Entropy functional based adaptive decision fusion framework. SIU 2012: 1-4 - [c4]Kivanç Köse, A. Enis Çetin, Osman Günay:
Entropy minimization based robust algorithm for adaptive networks. SIU 2012: 1-4 - 2011
- [c3]Nikos Grammalidis, A. Enis Çetin, Kosmas Dimitropoulos, Filareti Tsalakanidou, Kivanç Köse, Osman Günay, Benedict Gouverneur, Dino Torri, Ercan E. Kuruoglu, Saverio Tozzi, Amel Benazza, Ferdaous Chaabane, Bilgin Kosucu, Cem Ersoy:
A multi-sensor network for the protection of cultural heritage. EUSIPCO 2011: 889-893 - 2010
- [c2]Alexander Suhre, Kivanç Köse, A. Enis Çetin, Metin N. Gurcan:
Content-adaptive color transform for image compression. ICIP 2010: 189-192 - 2009
- [c1]Kivanç Köse, Erdal Yilmaz, A. Enis Çetin:
Progressive Compression of Digital Elevation Data using Meshes. IGARSS (4) 2009: 502-505
Informal and Other Publications
- 2023
- [i10]Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, Jennifer G. Dy:
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma. CoRR abs/2311.00858 (2023) - 2021
- [i9]Max Torop, Sandesh Ghimire, WenQian Liu, Dana H. Brooks, Octavia I. Camps, Milind Rajadhyaksha, Jennifer G. Dy, Kivanç Köse:
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. CoRR abs/2111.04807 (2021) - 2020
- [i8]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, Milind Rajadhyaksha:
Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net). CoRR abs/2001.01005 (2020) - [i7]Veronica Rotemberg, Nicholas R. Kurtansky, Brigid Betz-Stablein, Liam J. Caffery, Emmanouil Chousakos, Noel Codella, Marc Combalia, Stephen W. Dusza, Pascale Guitera, David A. Gutman, Allan Halpern, Harald Kittler, Kivanç Köse, Steve Langer, Konstantinos Liopryis, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer:
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. CoRR abs/2008.07360 (2020) - 2018
- [i6]Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images. CoRR abs/1802.02213 (2018) - 2017
- [i5]Alican Bozkurt, Kivanç Köse, Jaume Coll-Font, Christi Alessi-Fox, Dana H. Brooks, Jennifer G. Dy, Milind Rajadhyaksha:
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention. CoRR abs/1712.00192 (2017) - 2014
- [i4]Mohammad Tofighi, Kivanç Köse, A. Enis Çetin:
Signal Reconstruction Framework Based On Projections Onto Epigraph Set Of A Convex Cost Function (PESC). CoRR abs/1402.2088 (2014) - 2013
- [i3]Mohammad Tofighi, Kivanç Köse, Ahmet Enis Çetin:
Denoising Using Projection Onto Convex Sets (POCS) Based Framework. CoRR abs/1309.0700 (2013) - 2011
- [i2]Osman Gunay, B. Ugur Töreyin, Kivanç Köse, A. Enis Çetin:
Online Adaptive Decision Fusion Framework Based on Entropic Projections onto Convex Sets with Application to Wildfire Detection in Video. CoRR abs/1101.4749 (2011) - [i1]Kivanç Köse, Osman Gunay, A. Enis Çetin:
Compressive Sensing Using the Entropy Functional. CoRR abs/1101.5079 (2011)
Coauthor Index
aka: Ahmet Enis Çetin
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